|Publication number||US20080021336 A1|
|Application number||US 11/789,434|
|Publication date||Jan 24, 2008|
|Filing date||Apr 24, 2007|
|Priority date||Apr 24, 2006|
|Also published as||US8831705, US20120004564|
|Publication number||11789434, 789434, US 2008/0021336 A1, US 2008/021336 A1, US 20080021336 A1, US 20080021336A1, US 2008021336 A1, US 2008021336A1, US-A1-20080021336, US-A1-2008021336, US2008/0021336A1, US2008/021336A1, US20080021336 A1, US20080021336A1, US2008021336 A1, US2008021336A1|
|Original Assignee||Dobak John D Iii|
|Export Citation||BiBTeX, EndNote, RefMan|
|Referenced by (45), Classifications (25), Legal Events (1)|
|External Links: USPTO, USPTO Assignment, Espacenet|
This application claims the benefit of U.S. Provisional Patent Application Ser. No. 60/794,632, filed Apr. 24, 2006, entitled “Devices and Methods For Accelerometer-Based Characterization of Cardiac Synchrony and Dyssychrony.” This application also claims the benefit of priority of U.S. Provisional Patent Application Ser. No. 60/835,171, filed Aug. 1, 2006, entitled “Devices and Methods For Accelerometer-Based Characterization of Cardiac Synchrony and Dyssychrony,” and of U.S. Provisional Patent Application Ser. No. 60/839,494, filed Aug. 22, 2006, entitled “Devices and Methods For Accelerometer-Based Characterization of Cardiac Synchrony and Dyssychrony.” All of the prior applications are incorporated herein by reference in their entireties.
The human heart delivers oxygenated blood to the organs of the body to sustain metabolism. The human heart has four chambers, two atria and two ventricles. The atria assist with filling of the ventricles, which pump blood to the body and through the lungs. The right ventricle (RV) pumps blood through the lungs to be oxygenated and the left ventricle (LV) pumps the oxygenated blood to the body.
A graph of the cardiac filling and pumping cycle and valvular events is shown in
Myocardial activation and systolic contraction is initiated in the atria by a regular electrical depolarization wave that spreads from the sinoatrial node to the ventricles at a normal resting cycle of 60 to 80/minute. Cardiac electrical activity can be sensed using a body surface electrocardiogram or ECG. The depolarization of the atria is sensed as a P-wave 98 on the ECG. A delay in depolarization between the atria and ventricles occurs and is measured on the ECG as the PR interval 102. Ventricular contraction and myocardial shortening starts at the interventricular septum and rapidly spreads to the posterior and lateral wall via the Purkinje system. Electrical depolarization that leads to ventricular contraction is measured on the ECG by the QRS complex 104. Following the QRS complex 104 is the T-wave 106, which reflects ventricular repolarization.
In the normal heart, a short delay from interventricular septal contraction to posterior-lateral contraction of approximately 20-40 ms occurs such that the lateral free wall is typically the first region of the heart to undergo shortening. Aortic valve closure signifies the end of the ejection phase of systole and the start of diastole. Diastole results in filling of the ventricles with blood and lengthening of the myocardium. In the normal heart diastole is typically longer than systole with the ratio dependent on heart rate.
LV myocardial motion is complex and includes both vibration and displacement (lengthening and shortening). Displacement occurs primarily along the longitudinal axis (base to apex), but there is also some radial displacement as well as clockwise and counterclockwise rotation. Displacement of the entire heart can also be caused by respiration. Superimposed on the large amplitude displacement motion is low amplitude vibrational motion related to isovolumic contraction/relaxation, valve closure, and valve pathologies such as mitral regurgitation.
The origin of LV displacement motion can be traced to the specific orientation and arrangement of muscle fibers in the myocardium. Vibrational motion of the LV is thought to be caused by acceleration and deceleration of the blood and turbulent blood flow. Studies of myocardial architecture have shown that the fibers are situated transverse and diagonal in a helical pattern. Transverse circumferential fibers are present in the base and midwall of the myocardium and produce radial narrowing of the ventricle. Systole starts with the development of tension primarily in the circumferential fibers, which stiffens and narrows the ventricle, and causes primarily radial displacement. The start of systole coincides with the isovolumic contraction phase of the LV cycle and also causes a vibrational motion thought to be related to directional changes of the blood and the accompanying acceleration/deceleration. Mitral valve closure also occurs during this isovolumic contraction period. Circumferential shortening is followed by longitudinal-diagonal fiber shortening resulting in primarily longitudinal displacement of the LV (base toward the apex) and ejection of blood. The action of these fibers also creates a rotation of the heart. This coincides with the ejection phase of the LV cycle. Mitral regurgitation is prominent during this ejection phase. Following ejection, lengthening and rotation in the opposite direction begins, and the isovolumic relaxation phase of the LV cycle occurs. Isovolumic relaxation is also thought to be associated with vibrational motion related to the acceleration/deceleration of the blood. Aortic valve closure also occurs during this phase. Early rapid filling of the LV with blood, as well as late filling, causes radial and longitudinal lengthening of the LV.
This motion of the ventricular myocardium and the LV cycle phases can be measured at the mitral annulus which is displaced radially and longitudinally. In addition, some rotation and the vibrational motion is transmitted at the annulus. Longitudinal displacement is an integral part of the global contractile function and has a good correlation with the overall ejection performance and diastolic filling performance of the ventricle.
Heart failure or cardiomyopathy is a medical syndrome characterized by deterioration of cardiac pumping performance. The primary deterioration is a progressive loss of heart muscle compliance and contractility. Loss of pump function leads to cardiac dilation, blood volume overload, pulmonary congestion, and ultimately organ failure. Symptoms of heart failure include orthopnea, dyspnea on exertion, cough, fatigue, and fluid retention. Many heart failure patients suffer from functional mitral regurgitation that can worsen with exercise and contributes to the progression of the disease. Lastly, patients with cardiomyopathy are prone to rhythm disturbances such as interventricular and intraventricular conduction delays leading to mechanical dyssynchrony, and tachyarrhythmias.
In cardiac pathology, such as heart failure, electrical conduction between atria and ventricles can be delayed excessively such that pumping function of the heart deteriorates. In addition, conduction delays in the spread of ventricular depolarization thwart the uniform spread of ventricular contraction and result in asynchronous ventricular shortening and a deterioration of performance. Some of the ventricular depolarization delays are due to abnormalities of the Purkinje system and are referred to as left or right bundle branch blocks (LBBB or RBBB). Bundle branch blocks are manifested by a wide QRS complex on the ECG.
A prolonged QRS, often manifested as an LBBB in patients with cardiomyopathy, is associated with poor prognosis. In several large clinical trials, lengthening of the QRS was independently associated with poor survival. In addition, several deleterious hemodynamic consequences arise in the presence of bundle branch block including shortening of the diastolic filling period, aggravation of mitral regurgitation, and abnormal systolic wall motion. The overall result is a typical and sometimes dramatic deterioration in cardiac performance.
Most therapies to improve cardiomyopathy are implemented and tailored empirically, or indirectly, based on patient symptoms, with little or no information on the mechanical optimization of cardiac pumping. In practice, assessment of mechanical pumping properties is difficult. Some information can be obtained by inserting catheters into the chambers of the heart, but these catheters cannot be left in chronically and it is impractical to subject patients to repeated procedures.
Objectives of cardiomyopathy therapy are to increase contractility, reduce afterload, i.e., the pressure against which the LV must pump, control blood and body water volume, blunt neurohumoral activation, improve cardiac compliance, increase ejection fraction, and reduce mitral regurgitation. Drugs, medical devices, and surgical treatments are employed to accomplish these goals and include diuretic drugs, blood pressure drugs, beta blocker drugs, cardiac pacing and resynchronization with or without tachyarrhythmia therapy, coronary artery bypass grafting, and heart transplantation.
Pacemaker therapy to treat heart failure is an established medical therapy. This therapy is employed to correct the dyssynchronous mechanical activity that occurs in heart failure by controlling the electrical activity of the heart. This form of pacing therapy is often referred to as cardiac resynchronization therapy or CRT. Dual chamber pacing (right atrium and right ventricle) to improve atrioventricular synchrony is a form of pacemaker therapy. Biventricular pacing is a newer approach that can improve cardiac function and mortality. Tachyarrhythmia and defibrillation therapy are also incorporated into the pacing therapy as heart failure patients often have problems with tachyarrhythmia. An experimental implantable pacing therapy for cardiomyopathy is cardiac contractility modulation (“CCM”) in which a voltage potential or current is applied to the myocardium during the tissue's refractory period. This current improves myocardial contractility.
CRT is achieved by pacing (inducing myocardial activation) in the RV and LV, and has assumed prominence in patients with advanced heart failure and refractory symptoms. Specific candidates include patients with a prolonged QRS duration >120 milliseconds and/or LBBB. In newer approaches the RV and LV pacing is controlled and may occur at different intervals. LV free wall pacing only is also being explored.
Most clinical trials have demonstrated that about two-thirds of patients will have a clinical response to CRT as long as optimal pharmacologic therapy is maintained. Clinical responses include improvement in New York Heart Association functional class, improved exercise capacity, a decreased need for diuretic, reduced hospitalization for heart failure management, and the like. Unfortunately, about one-third of patients do not respond, and approximately 15% of patients can actually have a worsened clinical outcome.
In biventricular pacing or CRT, cardiac leads are placed in the right atrium (RA), the RV, and LV coronary veins via the coronary sinus. The leads have electrodes that can sense cardiac electrical activity and stimulate contraction in the myocardium. The leads are connected to a hermetically sealed, battery powered, programmable pulse generator and sensor/data storage device, termed here an “IPG” that is implanted subcutaneously.
Crucial to successful CRT is deployment of the left ventricular lead. This is typically accomplished by passing the LV lead through the coronary sinus into one of its venous tributaries overlying the epicardial left ventricular surface. Conventional pacing target sites are the posterior and lateral myocardium. In principle, the target site should be the segment of latest regional myocardial contraction relative to the QRS or some other measurement of the start of ventricular contraction. Although this is predicted to be in the posterior-lateral region, the actual site tends to be rather variable and difficult to predict in the individual patient. One other criterion for employing CRT is the identification of myocardial regions that contract in the post-systolic period, or in the period after aortic valve closure. Such regions are sometimes referred to as myocardial contractility reserve, because these regions of myocardium can add or contribute to systolic ejection if they can be forced to contract during systole. Pacing of regions can induce contraction and shortening of these late-contracting regions so that they contribute to systole. Consequently, any patient with a region of myocardium that contracts and deforms in the post-systolic period are candidates for CRT, regardless of the QRS interval.
Tissue Doppler and its corresponding myocardial velocity measurement have been used to measure various mechanical properties of ventricles and atria. Characterization of systolic and diastolic function can be performed. In addition, tissue Doppler has been employed in the assessment of mitral regurgitation and ischemia.
Tissue Doppler velocity measurements can detect tissue velocity changes, but these changes do not necessarily correlate with ventricular shortening which is required for cardiac pumping during systole. In an asynchronous ventricle, contraction may not be accompanied by shortening due to the effects of earlier-contracting segments on late-contracting segments. Newer techniques that employ measurements of cardiac strain and shortening are able to assess cardiac motion.
General strategies for LV lead placement can be developed with tissue Doppler imaging, a sophisticated echocardiographic technique, which allows visualization of individual myocardial segments and their contraction patterns, and allows visualization and analysis of segmental wall motion and velocity. It has been observed that up to 50% of patients may have the left ventricular lead, when placed in a conventional fashion pacing in a zone that does not correspond to the best myocardial contraction segment, i.e. there is a mismatch between the desired target and the actual target. Moreover, it is only those patients in whom a match occurred between the paced segment and the target zone where a clinical response was observed (only in about 30-50% of patients). This may explain why there is a lower than desired clinical response rate to CRT.
To improve CRT there is not only the need to identify target zones for pacing, but also to identify suitable patients. Further, a substantial percentage of patients with a normal or only slightly-widened QRS interval may also be candidates for CRT. Tissue Doppler scans can be suitable to measure ventricular dyssynchrony and therefore may be able to identify appropriate patients and optimize therapy. One measure of dyssynchrony identified with tissue Doppler is the assessment of peak velocity delays relative to the QRS onset of different myocardial segments and the standard deviation of these delays. However, tissue Doppler imaging requires specialists to perform the scan and can only be performed during a clinical visit. Thus, continuous or daily monitoring is not possible with this technique. Moreover, the complexity of the technique makes it too cumbersome to use during the LV lead placement.
Motion of the heart and LV, both displacement and vibration, can be measured directly with an acceleration sensor. This motion can be used to characterize the LV cycle phases. Integration of the acceleration measurements during displacement provides myocardial velocity data that may closely parallel tissue Doppler imaging velocity measurements. Double mathematical integration of the acceleration sensor signal would allow characterization of the distance of displacement. Thus, an acceleration sensor-based system could be used to identify target regions of myocardium for pacing, optimize and characterize the regional and global LV response to pacing of the target region, and identify candidates for CRT, including those without a widened QRS. Since LV motion and cardiac pathologies such as mitral regurgitation occur at different frequencies, e.g., higher frequency vibration and lower frequency displacement, acceleration signals at different frequencies are ascertained. In this way, the complete LV cardiac cycle and cardiac pathologies can be characterized and monitored for changes due to pacing. An appropriately designed implantable myocardial acceleration sensing device (IAD) could monitor global and regional cardiac function long term, and would allow optimization of many treatment aspects of heart failure, including pharmacologic therapy. This monitoring may occur without the need for specialized personnel and scanning. Moreover, the appropriately designed system would allow characterization of the complete cardiac cycle (systole and diastole) and global monitoring of cardiac mechanical function.
Accelerometers have been used in pacemaker IPGs for rate control purposes (U.S. Pat. No. 5,383,473 and U.S. Pat. No. 5,425,750). A sensor implanted in the heart mass for monitoring heart function by monitoring the momentum or velocity of the heart mass is generally disclosed in U.S. Pat. No. 5,454,838. A catheter for insertion into the ventricle for monitoring cardiac contractility having an acceleration transducer at or approximately at the catheter tip is generally disclosed in U.S. Pat. No. 6,077,236. Implantable leads incorporating accelerometer-based cardiac wall motion sensors and for arrhythmia discrimination are generally disclosed in U.S. Pat. Nos. 5,628,777 and 6,002,963. Accelerometers used for discrimination of various cardiac arrhythmias are also generally disclosed in U.S. Pat. No. 5,268,777. Additionally, other disclosures have proposed the use of an accelerometer to optimize pacing timing, such as AV delay/interval and interventricular (V-V) timing (U.S. Pat. Nos. 5,549,650; 6,542,775; 5,549,650, 5,540,727 and U.S. Applications 2003/0105496 A1, 2004/0172079 A1, 2004/0172078 A1, and 2005/0027320 A1).
In addition to employing sensors for monitoring therapy for cardiomyopathy, acceleration sensors have been previously disclosed for measuring the amplitude of acceleration signals during isovolumic contraction. Using a uniaxial accelerometer integrated into a right ventricular (RV) pacing lead, work done by Plicchi (“An implantable intracardiac accelerometer for monitoring myocardial contractility”, PACE 1996, 19:2066-2071) and others indicates that measurement of the peak amplitude of acceleration signals during the ICP correlates ventricular contractility and the rate of rise of ventricular pressure. Prior patent publications also disclose the measurement of peak amplitude acceleration signals to characterize contractility. For example, Chinchoy [US 2004/0172079A1 and US 2004/0172078 A1] discloses the measurement of peak amplitude of the acceleration signal during the ICP from the LV epicardium to optimize the atrioventricular (“AV”) delay and interventricular (“VV”) timing interval of a CRT device and to monitor long-term LV function. Yu and others disclose the measurement of the phase shift in the peak amplitude of acceleration signals derived from the LV and RV to optimize AV and VV interval timing of a CRT device.
Accurate measurement of the peak amplitude of an acceleration signal using an acceleration sensor as discussed in prior disclosures, may be problematic due to variables that can affect the signal. One variable is the influence of the acceleration signal related to the gravitational field of the earth. This acceleration signal will change with the angle of tilt of the sensor relative to the gravitational acceleration vector. Thus, depending on the orientation of the sensor in the heart, the acceleration signal due to earth's gravity may increase or decrease the peak amplitude. Another factor which may affect the peak amplitude is the relative motion of the lead or catheter type device to which the acceleration sensor is affixed. Relative motion of the acceleration sensor device (e.g., a catheter LV lead) in the direction of acceleration may increase the signal amplitude and, if counter to the direction of myocardial acceleration, may reduce the peak amplitude. Further, if the axis of the acceleration sensor is not parallel to the axis of motion, the amplitude of the signal will also be reduced. Lastly, the motion of the heart due to respiration may affect the accuracy of the peak amplitude.
Further in the disclosures of Chinchoy and Yu [US 2003/0104596 A1], it is not clear if the sensor is measuring vibrational or displacement motion of the heart. Measurement of these different motion types requires signal acquisition in the appropriate frequency band; however, these prior disclosures do not indicate the acquired acceleration signal's frequency band. Chinchoy indicates that the isovolumic contraction phase analyzed from the acceleration signal correlates with the S1 peak of myocardial Tissue Doppler velocity curve. However, this curve is a measurement of the displacement motion of the LV and therefore does not contain the vibrational component that may be more indicative of LV function. These above disclosures do not provide for measurement of pathologic vibrational motion, such as mitral regurgitation or the third/fourth heart sounds, and monitoring changes that may be indicative of improved LV function. Lastly, the above disclosures do not disclose a system and method for identifying target LV pacing sites for CRT through appropriate analysis of the ICP.
None of the above disclosures discloses using acceleration sensors to characterize all components of LV motion, displacement and vibration, and to use this motion data to characterize the different phases of the LV cycle for analyzing LV function. These disclosures do not provide a means for separating out the displacement and vibrational components of LV motion, which occur at the same time, through different frequency sensing or filtering and analysis. Prior disclosures do not provide devices or methods for identifying the optimal myocardial pacing zone or region in the left or right ventricle for CRT, such as measuring the onset of motion relative to the onset of the QRS or isovolumic contraction or mitral valve closure. Prior disclosures do not provide a method for multiple catheter repositionings in the LV or coronary sinus or great cardiac vein to map the motion of the LV for identifying the optimal pacing region. Prior disclosures do not describe characterizing the response to pacing of a target region by measuring parameters indicative of r LV function (e.g., myocardial performance index or QRS onset to aortic valve closure). Prior disclosures also do not disclose measuring cardiac pathologies such as mitral regurgitation, which may be sensed as vibration motion at frequencies greater than about 150 Hz. Prior disclosures do not disclose a means for optimizing complete cardiomyopathy therapy, including drugs and devices, through the use of implantable acceleration devices. Prior disclosures do not provide a means for zeroing out gravity effects and tilt of the sensor. Prior disclosures do not define the use of capacitive acceleration sensors that integrate an inductive coil for wireless powering and data transmission.
Rather, prior disclosures typically describe a single acceleration sensor preferably disposed in the tip of an implantable pacing lead. For example, a single accelerometer is incorporated into the RV pacing lead to assess RV systolic activity and correlate the readings with RV dP/dt (“An implantable intracardiac accelerometer for monitoring myocardial contractility”, PACE 1996, 19:2066-2071). The sensor is designed to detect only signals related to isovolumic contraction, and not the motion related to displacement or valvular pathologies. In another disclosure, an accelerometer is incorporated into an LV pacing lead for optimization of CRT timing intervals (US Application 2004/0172079 A1). This prior disclosure proposes to sense LV myocardial acceleration during isovolumic contraction and use this information to optimize the atrioventricular delay and the interventricular delay pacing signals. There is no disclosure on the use of an acceleration sensor device to identify target pacing regions and characterize the LV functional response to pacing. There is no disclosure on a means for characterizing both the displacement and vibration motion occurring at different frequencies. Consequently, the disclosure does not provide a way to monitor information on phases of the LV cycle that characterize LV function such as, displacement related to ejection, filling, afterload, volume status, and preload, nor can the same characterize vibration related to mitral regurgitation. Additionally, no disclosure is provided for integrating the acceleration signal to yield LV displacement velocity and distance measurements, which may provide additional information on LV contractile function. Also, neither disclosure nor device design is provided that would allow characterization of myocardial strain and strain rate.
In U.S. Patent Application 2003/015496 A1 single accelerometers are removably disposed at the tip of CRT leads in the LV, RV and RA. A temporal phase shift between two different sensors is proposed to optimize CRT interventricular timing. Similar to the above, this disclosure generally describes interventricular interval optimization and does not provide a means for intraventricular target pacing region identification. Therefore it lacks disclosure on any means for identifying LV pacing region, means for identifying LV response to pacing, means for identifying LV dyssynchrony irrespective of QRS width, and characterization of LV motion and the phases of the LV cycle. Further, there is no disclosure for multi sensor integration into the same lead catheter, guidewire, or guide catheter/catheter system, and analysis of acceleration at different frequencies.
In one embodiment, the invention employs an acceleration sensor to characterize displacement and vibrational LV motion, and uses this motion data to characterize the different phases of the LV cycle for analyzing LV function. In another embodiment, the invention measures acceleration in at least two different frequencies with either two or more sensors or two or more frequency filters to characterize LV motion. In yet another embodiment, the invention senses high frequency (greater than about 150 Hz) low amplitude motion related to valvular pathology (e.g., mitral regurgitation), mid frequency (between about 20 Hz and 150 Hz) lower amplitude motion related to isovolumic contraction/relaxation and valve closure, and low frequency (less than about 20 Hz) high amplitude motion signals related to displacement of the LV occurring during the ejection phase and early and late diastole. In still a further embodiment, the invention identifies a target pacing region or regions in the LV or RV using an acceleration sensor by localizing regions of late onset of motion relative to the QRS, or isovolumic contraction, or mitral valve closure, or by pacing of target regions and measuring LV function in response to pacing. In another embodiment, the invention measures myocardial motion with an accelerometer relative to the onset of isovolumic relaxation or aortic valve closure to determine contractile reserve and/or the presence of post-systolic shortening. In yet another embodiment, the invention identifies target pacing regions in the LV using an acceleration sensor by pacing different regions and measuring the regional and/or global LV functional response to pacing. In still a further embodiment, the invention uses an acceleration sensor to measure LV function by sensing changes in the time interval length of the LV cardiac cycle phases (isovolumic contraction/relaxation, ejection, and/or filling); changes in mitral regurgitation signal amplitude and duration; and changes in peak amplitude and slope of isovolumic contraction, isovolumic relaxation, and ejection phases; and frequency changes of the isovolumic contraction and relaxation phases. In another embodiment, the invention may use an acceleration sensor to identify patients with LV dyssynchrony or asynchrony and a normal QRS width (90-120 ms), a modestly increased QRS width (120 to 150 ms), and wide QRS or LBBB pattern (QRS>150 ms). In yet another embodiment, the invention facilitates identification of the coronary ostium and LV vein branches into the coronary sinus for cannulation with guidewires or catheters. In a still further embodiment, the invention provides the physician with data from acceleration sensing for management of optimal pharmacologic treatment. In yet another embodiment, the invention provides a wireless acceleration sensing medical device and system for assessing LV motion and function.
Embodiments of the invention provide an implantable or non-implantable acceleration sensor device for measuring LV motion and characterizing LV function. An implantable myocardial acceleration sensing system (“IAD”) includes at least one acceleration sensor, a data acquisition and processing device, and an electromagnetic, e.g., RF, communication device. The system may or may not have an internal battery. In one embodiment, an IAD is integrated into the pacing lead of a CRT device and can operate independently of the CRT IPG. In another embodiment, an IAD is used without a CRT to monitor heart failure. In this embodiment, at least one sensor is incorporated into an endovascular catheter that can be placed in the epicardial venous system of the LV.
In one illustrative system, the accelerometer sensors are micro-electromechanically (“MEM”s)-based to allow miniaturization, low-power consumption, and multiple-axis sensing. The sensors are conductively attached to the subcutaneously-implanted data acquisition and processing device, which is capable of RF telemetry communication and data transfer. The IAD monitors both vibrational and displacement LV motion during systole and diastole in at least the longitudinal axis. The IAD may also monitor LV acceleration in at least one location near the mitral annulus.
In another illustrative system, the IAD is integrated with a CRT device with a multi-electrode LV pacing lead. The IAD monitors LV motion and can dynamically adjust the electrodes that are used to pace. Similarly, the IAD can be integrated with or used with a CCM device to help monitor mechanical function and optimize therapy.
The IAD may perform data analysis algorithms that provide useful output for optimizing cardiomyopathy therapy. The output can be accessed by the multitude of physicians that are involved in cardiomyopathy management. These physicians include primary care physicians, internists, cardiologists, electrophysiologists, and cardiac surgeons. Statistical analysis of long-term data can identify periods in which cardiac function deviated significantly from baseline values or how the function changed with therapy.
IADs may also be implanted in the context of other cardiac procedures such as endovascular coronary procedures, electrophysiology procedures, coronary artery bypass grafting, and heart transplants. Thus, the patient is not subjected to an additional procedure. Integration of an IAD with a CRT or CRT pacing lead similarly offers the opportunity to optimize therapy and response in the context of a known and regularly performed procedure for cardiomyopathy.
In another embodiment, the sensor is a radiofrequency (“RF”) MEMs accelerometer that incorporates coils that can inductively power or charge the sensor and transmit the data. Such an RF sensor provides long term, batteryless, wireless monitoring. Data from the wireless RF sensor may be acquired using an external antenna device that wirelessly couples to the sensor by directing electromagnetic energy of the appropriate frequency toward the sensor for inductive powering and/or data transmission. The antenna device is connected to a microprocessor-controlled display device that processes and stores the myocardial acceleration data for LV motion and therapy monitoring and optimization.
In another embodiment, one or more RF sensors can be directly implanted into or on the heart for LV motion or therapy monitoring or both. Alternatively, one or more RF sensors can be integrated into various devices that are implanted into the heart. In a further embodiment, one or more RF sensors are integrated into an endovascular catheter that can be inserted into the chambers or vessels of the heart. In another embodiment, one or more RF sensors are incorporated into a coronary stent. In still another embodiment, one or more RF sensors are incorporated into a cardiac pacing lead.
In still another embodiment, an LV motion mapping system is disclosed which can sense LV motion for optimizing CRT lead placement. The system may include an LV venous catheter, LV lead, guidewire, or guide catheter/catheter system with an acceleration sensor, connected to a signal processing and powering module, and a graphical display. The acceleration sensing catheter may be moved to different locations in the LV and used to identify regions of late systolic or post-systolic motion relative to a reference point such as the QRS, valve closures, or isovolumic contraction/relaxation. Alternatively, a pacing catheter or guidewire may be moved to different LV locations and an acceleration sensing catheter near the mitral annulus may measure changes in LV function due to pacing. Both techniques may be used to optimize CRT LV lead implantation. The mapping system may also be used to determine optimal RV pacing sites which may mitigate the need for placing an LV CRT lead.
Signals related to LV function include: earlier onset of motion relative to the QRS; the interval time length of the LV cycle including isovolumic contraction and relaxation, ejection, and filling; degree of mitral regurgitation; peaks of isovolumic contraction and relaxation; and the myocardial performance index. One or more sensors or one or more filters or both may be used to measure displacement or vibrational LV motion and the LV cycle phases, as well as valvular pathology.
Monitoring changes in the frequency of the vibrational component of the ICP may be more practical and accurate than measuring amplitude changes for assessing cardiac function. Similarly, monitoring the time interval of this phase may prove more practical and accurate. Such an approach would reduce the sensitivity of the acceleration signal measurement and the interpretation of this measurement to the effects of gravity, sensor axis orientation, relative motion of the sensing device to which the sensor is affixed, and translational motion of the heart.
In this disclosure, systems characterize cardiac function using an acceleration sensor to acquire and analyze the frequency dynamics associated with the isovolumic contraction phase (“ICP”). This information can be used to characterize heart function; optimize therapy for cardiomyopathy, including CRT therapy (including pacing intervals and required pharmacologic therapy); and to optimize CCM therapy. In addition, this information can be used to identify target pacing regions for CRT lead placement. Lastly, but not exhaustively, analyzing the frequency dynamics can be used to characterize pathologic heart vibrational motion, such as mitral regurgitation and the third or fourth heart sound, and the response of this motion to therapy for cardiomyopathy.
The system uses an acceleration sensor to characterize the frequency dynamics of the isovolumic contraction phase as it relates to contractility and ventricular function. In addition the system measures pathologic heart vibrations such as mitral regurgitation and the third/fourth heart sounds and the effect of therapy on these signals. The sensor is placed into the ventricular chambers, onto the ventricular epicardium (e.g. LV), into the ventricular veins (e.g. the coronary sinus, great cardiac veins, or tributaries of this vein), or into the esophagus along the posterior side of the heart. The sensor can be integrated into an LV lead for CRT or CCM therapy for monitoring LV function. The sensor may also be incorporated into a catheter system for identifying target CRT pacing regions. The sensor may also be wireless and integrate into an implantable device (e.g. a stent) for long term monitoring of cardiac function.
FIGS. 40(A) and (B) show guide catheter acceleration sensor systems for determining valve closure with an LV lead acceleration sensor for determining myocardial motion via differential frequency processing.
FIGS. 55 (A)-(C) show a subpectoral or subcutaneous implantable acceleration sensor with a wireless communications capability for monitoring S1, S2, S3, and S4 and murmur-related heart sounds.
Acceleration sensors are well-suited for measuring both vibration and displacement motions. They can be oriented along an appropriate axis to maximize the motion signal and to accurately measure the displacement. An acceleration sensor placed in or on the heart can measure vibrational or displacement components of heart motion, or both thereby allowing the characterization of pumping function and various pathologies.
The sensor may be based on MEMs principles, which allows for miniaturization and low power consumption. The design and fabrication of capacitance MEMs-based accelerometers are known to those skilled in the art. MEMs-based accelerometers are typically fabricated from silicon or semiconductor substrates. In one illustrative system, the sensor is fabricated from a radiation-resistant semiconductor as the sensor will be implanted in many cases under fluoroscopic guidance. The general design of the accelerometer measures capacitance changes due to the movement of a proof mass beam with a side arm interdigitated between two capacitor plates. As the proof mass beam and side arm move with acceleration or vibration, the capacitance changes and this signal can be output as a measure of motion. These accelerometers are fabricated from silicon substrates which allows for single-chip fabrication of the sensor with the necessary signal processing circuitry. This single-chip design increases the device's sensitivity as extremely small changes in capacitance can be measured. MEMs-based acceleration sensors as described above can measure milli- or even micro-Gs (1G equals 9.8 meters/sec2) which is suitable for myocardial acceleration measurements which may typically measure between 50 and 500 milli-Gs or higher.
Other acceleration sensor designs could also be utilized and are known to those skilled in the art. For example, a thermal acceleration sensor could also be employed in which the proof mass is a gas. Also, while a multi-axis (2 or 3 axes) sensor may be most useful, single axis sensors could also be used and oriented appropriately to detect different axes of motion. It should also be noted that a pressure sensor can sense motion and could be used in place of an acceleration sensor in certain systems when determining the onset of motion relative to reference points such as the QRS or isovolumic contraction of mitral valve closure.
Both the vibrational and displacement LV motion can provide useful information for diagnosis of CRT candidates and optimization of CRT therapy, as is described below. The sensors may be tuned to sense high-frequency, low-amplitude myocardial vibration, or low-frequency, high-amplitude displacement motion. Alternatively, the signal-processing filters could eliminate or reduce frequency bands that are lower or higher. For the purposes of this specification, high frequency signals are those greater than about 150 Hz and are related to vibrational motion and correspond to valvular pathologies such as mitral regurgitation; intermediate frequencies range between about 20 and 150 Hz can be used to sense vibrational motion and low-amplitude displacement motion related to isovolumic contraction or relaxation and valve closure (e.g., aortic and mitral); low-frequency signals are those with frequencies less than about 10 Hz or 20 Hz and are used to detect high-amplitude displacement, both lengthening and shortening, related to ejection and filling.
The frequency associated with the peak amplitude of valve closure is approximately 40-60 Hz. Thus, when sensing in the mid-frequency range, and to sense valve closure events, a narrower band may be used in this range than the typical mid-frequency range. This signal is closely related to isovolumic contraction and relaxation. Because many cardiac events such as isovolumic contraction and mitral valve closure, or LV shortening and mitral regurgitation, or LV lengthening and mitral valve opening, occur simultaneously, two or more sensors or two or more filters may be required to characterize these different cardiac signals. For the purposes of this specification, references made to the LV motion, LV cycle phases (e.g., isovolumic contraction or relaxation), and valvular phenomenon (e.g., aortic, pulmonic, or mitral closure or mitral regurgitation), should be assumed to be sensed with one or more sensors, in the appropriate axis, at the appropriate frequency. While this specification focuses on using valve closure events to provide reference points for characterizing target pacing regions and CRT optimization, valve opening could also be used.
Sensors can be oriented in the devices described below to optimally detect the desired LV motion. In one embodiment, a uniaxial sensor is oriented anatomically longitudinally (heart base to apex) to sense displacement of the LV. In addition, this sensor could detect vibrational motion through appropriate filtering. Alternatively, two uniaxial sensors oriented longitudinally and radially, i.e., toward the ventricular chamber, or three uniaxial sensor oriented longitudinally, radially, and coronally may be used. A single triaxial sensor could measure all these components. In another embodiment, two dual-axis sensors are oriented perpendicularly to each other in the catheter or LV-lead device. Three axes may be used for LV motion sensing with filtering used to detect motion at the appropriate frequency. The fourth axis may be used as to detect valvular events such as closure or high frequency pathologies such as mitral regurgitation. In still another embodiment, three dual-axis sensors may be oriented perpendicularly to each other with the three axes used to detect displacement motion and three axes used to detect mid- and high-frequency vibrations related to isovolumic contraction or relaxation and valvular pathology such as mitral regurgitation.
Implantable RF-Based Acceleration Sensor Devices
In one implantable embodiment, the MEMs-based sensor as described above also incorporates circuitry for electromagnetic (e.g., RF) inductive coupling to create an RF sensor, as shown in
In an alternative embodiment, shown in
In more detail,
The MEMs acceleration sensor 108 includes an RF inductive coil 116 which may surround RF circuitry 118. RF circuitry 118 is coupled to signal processing circuitry 122. In another part of the chip, the capacitive MEMS accelerometer 124 is resident. As further indicated in the figure, a microprocessor, as an ASIC or otherwise, may be integrated onto the chip as well, along with optional data storage 128. Additional details of the MEMs acceleration sensor 108 design are given below.
The receiver system 114 includes a wand 132 which encloses an antenna 134 via which data and power are transmitted. An amplifier 136, such as a MMIC amplifier, may be employed to precondition the signal prior to transmission.
The data processing system 110 generally includes a microprocessor 138, a data output and display subsystem 142, and a data storage area 144.
A main component of the RF circuitry is the inductive coil which is used for data transmission and/or inductive powering. Alternatively, separate coils could be used for inductive coupling and data transmission. A representative silicon-etched inductive coil for powering capacitive MEMs sensors is disclosed in U.S. Pat. No. 6,667,725. The RF circuitry, including the inductive coil, may be incorporated into the same sensor chip. Alternatively this circuitry and coil may be fabricated separately and conductively linked to the sensor. For example, a planar RF antenna for inductive powering and data transmission may be fabricated on a flexible polymer substrate (e.g., polyimide) by winding or etching. The antenna may be planar. The sensor can be soldered to the flexible antenna circuit at bonding pad areas. The flexible polymer may then be wrapped around a vascular stent or incorporated into other cardiac devices and implanted into the body. In another embodiment a flat planar coil on a polyimide substrate is created with a long thin section. The planar coil can reside subcutaneously and the long thin section can reside transvenously within the body or within a device such as an LV pacing lead.
In addition, non-volatile memory may be used for storage of captured acceleration data. Similarly, this memory may be integrated into the same sensor chip, but may also reside as a separate chip and or in a separate location with appropriate connections. Lastly, a microcontroller or an application-specific integrated circuit (ASIC) may be incorporated into a sensor chip design or the same may reside on a separate chip and in a separate location. It should be noted that all device descriptions below that are based on RF coupling could be replaced with conductive element coupling for data transmission and power supply from a battery.
The RF accelerometer sensor can be hermetically sealed and packaged in a biocompatible housing to form a rugged sensor device for implantation into the body or cardiovascular system. Appropriate packaging may also reduce damage due to exposure to fluoroscopic radiation. Appropriate packaging would also not interfere with RF coupling. The device would have appropriate mechanisms for attachment to the body or cardiovascular system, including: tines, helical screws, suture pads, retention struts, and structures, such as porous titanium, to allow tissue ingrowth. There are various form factors the packaged accelerometer sensor device may have to facilitate implantation and various strategies for affixing the sensor device to the body.
An exemplary use of an RF sensor device is in cardiac surgery. Cardiac surgery and transplant patients can have severe myocardial dysfunction. An RF sensor could be affixed to the epicardial surface of the left or right ventricle. In this embodiment, the packaged sensor device may be circular and 2 cm or less in diameter and less than 5 mm thick. The device's epicardial surface may be flat and may have a helical screw for fixation into the myocardial tissue. Various polymeric materials maybe incorporated into the sensor epicardial surface to promote attachment to the myocardium. The upper device surface is curvilinear to conform to the chest wall. One or more sensors could be used to detect LV motion and related LV cycle phases, valve closure, and valve pathologies such as mitral regurgitation. Again, conductive elements and a battery supply could replace the RF components.
In another embodiment, an RF MEMs accelerometer sensor is incorporated into a coronary stent that is implanted in the LV arteries. The stent may also be implanted in the lateral coronary sinus or great cardiac vein or other LV veins near or proximate to the lateral edge of the mitral valve annulus. This is akin to implanting a sensor directly onto the epicardium and hence acceleration sensing of LV motion and the LV cycle phases can be measured. If two or more sensors are used separated by a known distance, strain and strain rate can be measured. The sensor or sensors could also be used to sense valve pathologies such as mitral regurgitation. Design and implantation of stents are known to those skilled in the art. The transceiver coil could be integrated into the stent body, or the stent body of a coiled stent design could serve as the transceiver, as shown in
RF sensor monitoring and data transfer could occur via an antenna device connected to a microprocessor which is worn by the patient or held near the sensor (e.g., over the chest). An appropriate antenna device would have a large enough antenna to inductively couple with the sensor. In one illustrative system, the antenna device may couple with the sensor at a distance of 5 to 15 cm and up to 15 feet. An exemplary antenna device is discussed in “RF telemetry system for an implantable bio-MEMs sensor”, Rainee Simons, et al., NASA Glen Technical Reports, June 2004, NASA TM-2004-212899. As discussed in this paper, an MMIC amplifier connected to the antenna can allow for a reduction in the size of the sensor coil and the reader antenna.
The antenna would transfer the sensor data to a microprocessor or computing device that applies processing algorithms to the data and display the data to the physician for therapy monitoring. The microprocessor computing device and reader may be integrated into one device. Various signal processing functions may be carried out by the microprocessor such as filtering different band widths for different sensors to differentiate vibrational motion signals indicative of valve closure or mitral regurgitation from lower-frequency displacement motion related to LV ejection or filling. Because patients may have various valve anomalies, such as mitral regurgitation or aortic stenosis, the motion related to isovolumic contraction and relaxation may be especially monitored and may be indicative of valve closure events due to the short time period (about 10-30 milliseconds) between isovolumic contraction or relaxation and valve closure. Signals may be timed for detection after onset of the QRS, an endocardial electrogram, or other electrical signals. For example, sensing isovolumic contraction may occur immediately after sensing of the QRS for an interval of 50-150 ms, i.e., to allow particular attention to be given to this period. In addition, the microprocessor could carry out various statistical manipulations to monitor long-term trends. It should be noted that the microprocessor could also be located in an implantable device conductively coupled to the sensors.
Data transfer could be conducted by the physician periodically. Alternatively, the antenna device could be connected to the patient's home computer and transferred data could be sent to a physician or monitoring center over a network. An RF sensor-reading antenna integrated into or connected to a cellular phone would allow data to be wirelessly transmitted to a physician or monitoring center. Similarly a hand-held computing device with wireless communications could transfer sensor data wirelessly to a physician or monitoring center.
In another embodiment, at least one RF sensor, and even two or more, are incorporated into an endovascular catheter with or without a guidewire through lumen that can be implanted into the blood vessels of the body. In this illustrative system, at least one sensor is capable of sensing valve closure, isovolumic contraction or relaxation phases, or mitral regurgitation either by sensor tuning or filtering. This sensor catheter is placed via transvascular methods form the subclavian vein, internal jugular, or cephalic vein into the coronary sinus, or its tributaries, including the left ventricle drainage veins. The proximal portion of the catheter has a means for implantation and anchoring in the subcutaneous tissue.
Methods for inserting catheters into the coronary sinus and LV veins are well-known to those skilled in the art. In general, insertion occurs over a guidewire after accessing the coronary sinus ostium with a guide catheter. This placement is done under fluoroscopic visualization so the sensors are constructed to withstand the radiation exposure or are otherwise protected in a capsule that does not interfere with RF coupling. The catheter is flexible, may or may not be braided, and is made of a biocompatible polymer such as silicone or PBAX. The sensor catheter could have various features to facilitate placement and anchoring including fixed angles, a guidewire lumen, tines, and tip deflectability or steerability. In addition, the catheter may have an occlusion balloon and contrast injection lumen and port for acquiring an LV venogram. Alternatively the venogram features are incorporated into the guide catheter. Preferably, one sensor is located at the posterio-lateral or lateral edge of the mitral annulus. Additional sensors may be located on the catheter separated by known fixed distances (e.g. 5-10 mm) to provide strain and strain rate data. The above catheter allows long-term monitoring of myocardial mechanical activity and the LV cycle phases via wireless sensor powering and data transmission, thereby minimizing device complexity.
Preferably the region of the catheter where the sensors are located is suitably flexible to move with the displacement motion of the heart. Referring to
For example, referring to
Alternatively, a structure can be used to constrain the sensors or sensor region of the catheter in the blood vessel, as shown in
In particular, referring to
Implantable Non RF-Powered Acceleration Sensor Devices
In an alternative illustrative embodiment, and referring to
The catheter 210 includes, near a first end 228, one or more sensors 208 and 212. For appropriate sensing, the sensors may be separated by an approximate pre-determined distance, e.g., 10 mm. One sensor may reside at the posterior-lateral edge 214 of the mitral annulus. The sensors may be conductively connected via the catheter 210, at a second end 232, to a subcutaneously-implantable data acquisition and processing device 234, which contains a battery supply, RF telemetry circuitry, a microprocessor, and data storage. The implantable data acquisition and processing device may be housed in a hermetically-sealed titanium shell. The processing unit 234 may connect to the catheter 210 via a proximal catheter connector 236. The sensors are encapsulated in a structure that protects them from fluoroscopic radiation damage; however, because the sensors in this embodiment are not directly RF-coupled, concerns about interfering with this coupling are eliminated. Insulated, multifillar, coiled wires 252, only a portion of which are shown in
The battery in this embodiment may be rechargeable or typical of implantable battery sources. A typical implantable battery cell design is lithium silver vanadium oxide. Lithium carbon monoflouride may be also be used and has certain advantages due to its low weight.
Data storage may include readable and writable memory. A constant power input from the battery can allow volatile random access memory to be used for data storage and control functions. However, non-volatile data storage such as EEPROM or flash may also be used. A combination of volatile and non-volatile memory storage may be used. Flash memory is non-volatile, compact and operates in the voltage range of implantable device batteries. Access to the data is rapid and megabyte storage capacity is available in a small size. Data may be stored on a first-in-first-out basis if memory becomes full prior to RF telemetry data transfer.
IAD acceleration data acquisition occurs over a sampling period that may be continuous or may be only a short period such as several seconds to up to 30 seconds or even several minutes. Data acquisition may occur at various sampling intervals such as from 8 to 1,440 times each day. Sensor data is sampled at rates sufficiently high to provide useful information for diagnosis and monitoring of CRT patients, target pacing regions, and heart failure (or cardiomyopathy) patients, and preferably at rates of 100 per second to 1000 per second. Sample rate, sample time, and interval periods are in part dependent on data storage capacity. Data captured and stored can be transferred by telemetry to a computing device either daily by the patient or weekly to monthly or longer by the physician. Data storage may be sufficient to allow at least one day of data storage and up to six months of data storage at the optimal data sampling rate, time, and interval to provide the physician with useful information.
In another illustrative system the IAD described above is integrated with the proximal portion of a cardiac pacing lead, and preferably an LV CRT pacing lead, as shown in
If strain or strain rate data is to be measured, two or more sensors may be incorporated at a known distance from each other, e.g., 5, 10, or 15 mm. One or more sensors are positioned on the lead as in the above embodiments with least one sensor residing at or near the posterior-lateral or lateral edge of the mitral valve annulus. The region of the lead between and around the sensors is made suitably flexible as previously described to ensure measurement of LV displacement and strain or strain rate. Sensing is carried out at different frequencies or with one or more sensors, or both, to measure both displacement and vibration to characterize the LV cycle phases and function, and pathologies such as mitral regurgitation. This IAD-integrated cardiac lead design allows cardiac mechanical monitoring independent of the CRT or CCM IPG. In this pacing lead embodiment, an implantable data acquisition and processor component 278 may be made as small as possible. Thus the battery cell used may be ultra miniature and may be rechargeable. Exemplary batteries are available from Quallion, Inc., of Sylmar, Calif., some of which have a 2.9 mm outer diameter cylindrical implantable battery (2.7-4.0 V, 3 mAmp-hours). A compact, non-volatile memory such as flash memory may be used in this system for processed data storage. Data processing algorithms may be performed after RF telemetry data transfer. The IAD RF telemetry may occur at a frequency that does not interfere with a CRT device 284. In addition to the battery power, data storage, and RF telemetry components, the implantable accelerometer data processor 278 may include a microprocessor, and may connect to the catheter via connector 282 at a distal end of Y-connector portion 290.
The catheter may be disposed using guide wire 274 having distal tip 292 adjacent tine 298, the guide wire being enclosed within a guidewire lumen (not shown).
Data and signals from the sensors and the data acquisition and processing component 278 are sent to the CRT device 284 via connector 276. The CRT device 284 may also receive signals from RA lead 286 and RV lead 288.
The design of LV pacing leads is known to those skilled in the art. In general, the LV CRT lead and fixation is similar to currently deployed leads with the exception of the requirement of accommodating the accelerometer-based sensors. The lead may be unipolar or bipolar. The conductive wires for the electrode may be coiled, mutifillar, and sheathed in a polymer such as silicone or polyurethane. A connector 276 at the proximal end 277 allows connection to the IPG and may be universal according to the IS-1 standard. A set of pacing electrodes 264-268 and 296 can be variously fabricated as a blunt-nosed tip (296), ring (264-268), or coiled. Non-corrosive alloys and metals can be used in the electrodes/lead such as platinum iridium or titanium iridium oxide or nickel cobalt or others such as are known in the art. The lead may elute a steroid drug via a drug elution component 294 to minimize inflammation at the electrode site location to keep capture thresholds lower. The lead could also have an ePTFE coating at the electrode to minimize fibrosis.
In another illustrative LV lead implantable system, a sensor 302 is incorporated into a sensor wire 304 that integrates with an implantable LV lead 300 (See
The sensor wire is integrated into the LV lead via a side wire lumen 316 along the length of the LV lead 300. The side wire lumen 316 is split to allow the sensor to be shuttled along the surface of the lead body 300. The sensor wire 304 may reside in the side wire lumen 316 and the sensor stalk 306 may reside along the split in the lumen 316. Thus the acceleration sensor 302 can be shuttled to the desired location at the mitral annulus 322 (see
Also shown in
In use, as the LV lead 300 bends to enter the posterior to lateral LV vein 342, the sensor wire 304 and sensor 302 bend out of the side lumen 316 due to the stiffness of the sensor wire 304. In this way, while the LV lead 300 goes into the LV vein 342, the sensor 302 continues on to a position near the mitral annulus or the lateral border thereof.
In another illustrative system, as shown in
As before, acceleration sensors 352-358 are integrated into the LV pacing lead 360. Circuitry and control of sensor data acquisition and processing may be integrated with the electronics of the CRT. Algorithm-processed acceleration data, described below, can be used to control and optimize the CRT such as via the atrioventricular interval, the interventricular interval, and may further be used to optimize the LV pacing site. Motion sensing may be used to dynamically change the pacing at multiple LV electrodes to continuously optimize the LV pacing over time. Cardiac events such as valve closure or isovolumic phases could control the timing, similar to a cardiac electrogram. At least one sensor may be designed to detect valve closure or isovolumic contraction and relaxation and may be positioned in the vessel to do so. Such a device that senses mechanical cardiac activity, e.g., valvular events, isovolumic contraction phases, and deformation, may be more optimal than controlling pacing signals with a sensed cardiac electrogram since cardiomyopathy causes mechanical dyssynchrony. Because some CRTs have defibrillation capability, the sensors and their attendant circuitry may have to withstand the energy delivered during a defibrillation event. This device may be capable of standard CRT functions, including multi-chamber EGM sensing, pacing, and trigger or inhibition control. Event sensing and storage would also be typical. Antitachyarrhythmia and bradyarrhythmia control of the atria and ventricles as is currently available may also be present and may include overdrive pacing, cardioversion and defibrillation. The device also allows periodic assessment of electrode capture threshold and adjustments to this threshold. This preserves battery life and ensures optimal myocardial activation and therapy. Hence myocardial deformation or strain rate may be monitored and pacing signals directed to the electrode where late deformation is occurring. Consequently, this type of CRT system may have an LV lead with multiple electrodes and acceleration sensors.
In more detail, device 350 may be connected to various leads via connector 392. The leads may be RA lead 370, RV lead 380, and LV lead 360. The RA lead 370 and the RV lead 380 may have optional acceleration sensors 346 and 348, as well as electrodes 362 and 364, and helical fixation points 378 and 382. Besides the acceleration sensors already noted on LV lead 360, a number of electrodes 366-374 may also be disposed. A guide wire lumen 384 may be disposed for use with a guide wire to aid is positioning the lead. The distal tip of the lead may include a tine 376 to help stabilize the lead in the vein. An optional balloon occluder 386 may be employed for venogram acquisition, with a contrast injection port 388 adjacent, but distal, thereto. The remainder of the catheter system is as has been already described.
Signal Processing, Data Analysis, and Monitoring
In one illustrative system, the LV motion signals and data analysis are produced from a sensor along the mitral valve annulus. Mitral annular velocities have been shown to provide an accurate assessment of global left systolic and diastolic function. Mitral annular motion may also be best to measure displacement of the LV. Thus, this displacement motion may be subjected to a mathematical integration algorithm, as shown in
In particular, the first step is to acquire acceleration data (step 394). Following this initial step, the data may be averaged over a predetermined sample period (step 396). The acceleration data may then be integrated to obtain the velocity (step 398).
A velocity curve may then be output to indicate systole and diastolic velocities (step 402). From this an analysis of peaks over time may be output (step 404). Finally, a measurement may be taken of the onset of displacement velocity versus the QRS peak (step 406).
If a second sensor acquires, or can be used to acquire, velocity data as well (step 408), displacement and strain rate may be obtained. From the first and second sensor velocity data, the strain rate can be calculated (step 412), and a strain rate curve may be output (step 416). From the strain rate and the velocity data, the data can be integrated to obtain the ventricular displacement (step 414), from which a displacement curve may be output (step 418). In general, LV motion signals may be processed in a manner best used for interpretation and therapy optimization. This includes analyzing indices or variables of LV function such as: peaks and slopes of acceleration, velocity, and distance curves, interval times of LV cycle phases, and analysis of pathological valve signals. Curves, such as a velocity curve of LV displacement, may be plotted with velocity in millimeters or centimeters/sec as the ordinate and cardiac cycle time in milliseconds as the abscissa. The algorithm may also involve calculating strain rate by processing acceleration data from at least two sensors separated by a known distance, e.g., 5 to 15 mm millimeters apart. Vibrational motion signals, e.g., that related to mitral regurgitation, may be presented as an amplitude and duration or a change in the frequency.
3-axis sensing is utilized in some illustrative systems. A more accurate measurement of peak amplitude can be measured by calculating the composite acceleration vector of each axis (x, y, and z). This can account for the gravitational acceleration and its effects on sensor tilting. The composite vector can be calculated by taking the square root of the sum of the x-axis measurement squared plus the y-axis measurement squared plus the z-axis measurement squared. This peak amplitude calculation can be applied to both the vibrational motion and the displacement motion. This may be particularly accurate during the implantation of an LV lead for CRT therapy when the patient is lying still on a procedure table. Here the sensor measures the peak in the LV veins or coronary sinus.
Thus, LV acceleration signals are sampled at a designated rate for a set time period, which is the sample period. Sensor data from the sample period can be averaged over several or more cardiac cycles to smooth out effects related to respiration and patient motion. The averaged data can then be used to produce a cardiac cycle acceleration curve which includes tissue acceleration, in, e.g., mm or cm/sec2 versus cardiac cycle time, in milliseconds. This curve can then be mathematically integrated to produce a tissue velocity curve, e.g., in mm-cm/sec vs. cardiac cycle time. A second integration can performed to produce a distance curve, with units of mm or cm. Point-by-point acceleration sensing and integration can also be performed with peak identification, integration, and presentation as an individual data point rather than a curve.
Strain and strain rate curves and data points may be generated from velocity curves or data points. Generally at least two sensors are needed to measure strain rate. Velocity curves or data are generated from the two sensors in at least one axis. Strain rate or strain rate curves are created by integrating the difference in velocity data from the two sensors at the same point in the cardiac cycle and dividing this difference by the distance between the sensors ∫(v1−v2)/1. Since the distance of the sensors along the length of the implanted catheter or pacing lead is fixed, the distance between sensors is known. The strain curve is generated by integrating the strain rate curve.
This information is useful for the physician for long term management of the cardiomyopathic patient. This curve 422 often has two peaks during systole (S1 424 and S2 426) and three peaks during diastole (isovolumic relaxation 428, E 432, and A 434), though at times not all of the peaks are discernable. Trends in these peaks can provide useful information to the physician. These trends may prompt changes in pharmacologic therapy such as drug addition/elimination or dosage changes.
For example, referring to
These trends may also indicate when additional interventions are warranted such as cardiac surgery, endovascular revascularization, or CRT. It may be noted that these peaks have been characterized with tissue Doppler imaging at the posterio-lateral edge of the mitral valve annulus in a single plane. An epicardial acceleration sensor in the same region, that is recording acceleration in 1, 2 or 3 axes, may produce a somewhat different velocity curve. However, it is believed that the curve can be analyzed in a manner analogous or similar to that discussed below to provide useful information to the physician.
The S1 peak can be used to assess myocardial contractility with a higher peak indicating improved contractility and a lower peak indicating reduced contractility. A main goal of heart failure therapy is to improve myocardial contractility. Contractility can be improved with CRT therapy and pharmacologic therapy. The slope of this peak may provide similar information.
The S2 peak can be used to assess afterload, which is a measure of the resistance the heart must pump against as it circulates blood to the body. It is the goal of heart failure therapy to reduce afterload, primarily with the use of pharmacologic agents. Increases in the S2 peak represents increases in afterload, and decreases in the S2 peak represents reductions in afterload. Alternatively, integrating the area under the S2 peak may provide information on the afterload. The S2 peak also correlates with ejection fraction and rate of pressure change (dP/dt).
The E and A peaks can be used to assess cardiac compliance and patient volume status. In heart failure therapy, optimizing the patient's volume status and its effect on left heart pressure is important. Cardiomyopathy patients have a tendency to retain water and can become volume overloaded. When this occurs, the function of the heart deteriorates and symptoms such as pulmonary congestion occur. Diuretic drugs such as Lasix are commonly used to reduce water retention. Monitoring of the E and A peaks and slopes, and integrating the area under the curve, can provide information on volume status. In addition, the relationship of the E and A peaks (E/A) is indicative of ventricular compliance. Ventricular compliance can change with ischemic events and can be reduced with long-term elevated afterload. Beta-blocker therapy can affect compliance in cardiomyopathy patients and therefore may be monitored with the E and A peak data.
The A peak which represents atrial contraction can also be used to optimize atrioventricular timing in a patient with CRT therapy. AV synchrony optimizes preloading of the heart and improves pumping performance in part via the Frank Starling mechanism. Ideally, ventricular contraction occurs at the completion of atrial contraction, which produces optimal preloading of the ventricle. The end of atrial contraction and ventricular filling can be determined at the point at which the ventricular velocity crosses the abscissa after the peak of the A wave (
Other measures of LV function can also be obtained by analyzing the time intervals of different phases of the cardiac cycle. Several time interval measures include the isovolumic contraction, ejection phase, isovolumic relaxation and LV filling time. Time intervals can be estimated from the acceleration, velocity, and distance data. The start of a time interval may be identified as an acceleration amplitude above a certain threshold (e.g., +/−milli Gs) and the end of an interval may be indicated by the dipping of the acceleration amplitude below a threshold value. Also, the number of zero crossings may also be used to estimate time intervals. A reduction in the isovolumic contraction or relaxation time interval would be indicative of a favorable response. Increase in the ejection phase time interval, e.g., QRS to aortic or pulmonic valve closure, and the filling time interval, would also be indicative of a favorable response.
The myocardial performance index (MPI) is a measure of systolic and diastolic function that is a good predictor and monitoring indicator for heart failure. The index is calculated as the isovolumic contraction time plus the isovolumic relaxation time divided by the ejection phase time (
Longitudinal displacement of the mitral annulus inferiorly during systole and superiorly during diastole is also a good measure of LV function. Thus a sensor in the coronary sinus or proximal the great cardiac vein with at least one axis oriented longitudinally will measure the acceleration of the annular region in the inferior and superior directions. From this, velocity and distance can be calculated through integration. The peak acceleration, peak velocity, and distance traveled by the annular region during systole are indicative of performance with higher values indicating better function. Similarly the velocity and peak acceleration during diastole as well as the distance traveled is a measure of LV performance with higher values indicating better function. The clockwise or counterclockwise rotation of the basal and annular region can be measured in the coronary sinus with an acceleration sensor oriented horizontally. Again, higher values of acceleration, velocity, and rotation are indicative of LV performance. Narrowing and widening anteriorly/posteriorly and medial/laterally of the mitral annulus is also indicative of LV function. An acceleration sensor oriented radially to the heart in the coronary sinus or proximal the great cardiac vein could assess this motion with higher values indicative of better function. A 3-axis sensor could measure all axes of motion of the mitral annulus: longitudinal, radial, and rotational, for complete characterization of LV function from the coronary sinus. This would be useful for long term monitoring, identifying, and optimizing LV pacing regions during CRT lead placement as described below.
To accurately measure the length or magnitude of ventricular deformation, peak velocities, or peak accelerations, during systole (or even diastole) along the radial or longitudinal axes, a zero reference point is preferably ascertained. This can be seen in
Referring again to
Trends of increasing diastolic lengthening are indicative of volume overload, while reduction in diastolic lengthening represents improvements due to volume unloading. This data may be trended in an implantable device according to an embodiment of the current invention and is useful in the mapping procedure to assess the effect of pacing the target region which may then shows a reduction in peak diastolic lengthening due to improved pumping and volume unloading.
Mitral regurgitation can be caused by LV dilation and functional decline, which worsens the symptoms of heart failure and is associated with faster deterioration of the heart. CRT can improve mitral regurgitation. Mitral regurgitation can cause higher frequency (>200 Hz) motion that can be sensed at the mitral valve annulus from the LV vasculature with the acceleration sensor. The amplitude of the acceleration signal and duration relative to the ejection phase may be good indices to measure for improvement. A reduction in amplitude and duration is indicative of improvement. A change in the frequency may also be indicative of improvement. The vibrational motion associated with isovolumic contraction may be indicative of the contractility of the heart. Increases in the peak of this signal may indicate better contractile function.
For trend monitoring (e.g., with an IAD), acceleration data is sampled at regular intervals during the day, termed the “interval period”, and this data is averaged. Peak amplitudes can be plotted as the ordinate with the monitored time interval (e.g., days, weeks, or months) as the abscissa (See
Disposable and Mapping Acceleration Sensor Devices
LV motion may be useful for identifying target pacing regions for CRT. Target pacing regions may be identified by how late the region of the LV starts shortening relative to a reference point such as onset of systole or end of systole (See, e.g.,
Along curve 482, feature 492 represents late shortening. Feature 494 represents a pacing signal from one of electrodes 476, in particular an electrode adjacent sensor pair 468. Feature 496 depicts earlier shortening of the late segment and optimized ventricular synchrony. Along curve 486, the baseline is chosen as the sensor position at QRS onset, or the onset of isovolumic contraction, or the end of the A-wave. The negative deflection shown in feature 498 reflects the shortening of the LV.
Uncoordinated LV contraction due to delayed regional shortening reduces the efficiency and effectiveness of blood pumping and hence delayed regions are targets for pacing. Myocardial shortening that occurs after aortic valve closure, i.e., post-systolic, does not contribute to the ejection of blood and may exacerbate pathologic conditions such as mitral regurgitation and hence these regions are also targets for pacing. Both longitudinal and radial shortening may be delayed. Late onset shortening or post-systolic shortening may be best measured at low frequency acceleration signals related to displacement. The integration of the acceleration signal to a velocity or distance may also smooth out the signal and make it easier for the physician to interpret. A reference point for delayed systolic shortening and post-systolic shortening may be the QRS onset and T-wave, respectively.
Curve 502 represents an ECG with the Q, RS, and T waveforms shown. Curve 516, which is straight, shows sound waveforms of the MVC and AVC. Curve 504 represents a post-mid-segment measurement. Curve 506 represents a post-basal measurement. Curve 508 represents a post-basal-lateral measurement. Curve 512 represents a basal-lateral measurement. Curve 514 represents a mid-lateral measurement. Various features of these curves will now be described. In all the curves, points 526 represent the zero point position of the sensor at either QRS onset, MVC, or AVC. Also in all curves, the target pacing region was the basal lateral, and the example shows delayed onset shortening, early systolic lengthening, and post-systolic shortening.
Referring to curve 504 in
Alternatively, vibrational components of the LV cycle may be used as reference points. Thus a reference point for delayed systolic shortening within systole may be the vibrational motion associated with isovolumic contraction or mitral valve closure. Similarly, vibrational motion associated with isovolumic relaxation or aortic valve closure may serve as reference points for post-systolic shortening. These reference points occur in the mid-frequency range (e.g., 20 Hz-150 Hz), while the displacement motion occurs at the low frequency range (e.g., <10 Hz). These signals can thus be separated out by appropriate filtering. Post systolic shortening more than about 20-50 milliseconds or greater than 20% of the total regional shortening after aortic valve closure could be a target pacing region. Other targets are dyskinetic regions that have periods of lengthening during early systole followed by shortening deformation, or akinetic regions that have lengthening throughout systole (
LV motion, both regional and global, can be used to characterize indices of LV function in response to pacing. Thus, identification of a region of late or post-systolic shortening may be performed, and/or a pacing electrode can be positioned in the region and paced at a threshold that ensures tissue capture.
ECG 556 shows the QRS and T waves along with a pacing spike 566 which is delivered in the LV vein region. Examination of curve 558 shows a delayed onset motion 568 but a lessened delayed onset motion 572 following the pacing spike. Curve 562 shows a value of ejection phase 574, as measured by the time between the MVC or IVC and the AVC or IVR, and then a longer ejection phase 576. Here the MPI can be seen to be MPI=(a+b)/c. Finally, curve 564 shows a reduced MVR signal 578 as compared to the pre-pacing MVR signal 582.
As shown above, low frequency changes or variables indicative of a favorable response to pacing include but are not limited to: either temporally earlier or more synchronous shortening of the paced region; increases in longitudinal or radial displacement of the mitral valve annular region; increases in peak acceleration or velocity of longitudinal or radial displacement of the mitral annular region (S1 or S2 peak). The change in radial and longitudinal shortening may reflect the ejection fraction, a variable correlated with outcome in heart failure. The position of the LV wall as determined by the sensor may determine the effects of pacing on LV volume (See
LV motion sensing with an acceleration sensor primarily at low frequency may allow the identification of candidates for CRT. Many patients with a low ejection fraction and history of ischemic heart disease undergo the implantation of a defibrillator. During the defibrillator placement, a candidate for CRT could be identified and an LV lead placed, thus preventing the exposure of the patient to two separate procedures.
One way to assess candidates for CRT is by assessing contractile reserve. The presence of shortening during diastole is indicative of contractile reserve. The difference in peak ejection velocity or shortening or the start of motion or shortening in any two regions, e.g., the septal to posterior region or the posterior to lateral region, is indicative of dyssynchrony that may respond to therapy. These differences may be based on the time from onset of systole for each region or may be the direct difference between two regions. Thus, a difference in peak velocity from the septal to posterior wall of greater than 50-100 ms may indicate a target pacing region of the posterior wall. Septal motion could be detected by a sensor located in the RA/RV or near the opening to the coronary sinus or near the posterior interventricular vein branch. Specific displacement patterns, such as both shortening and lengthening, that occur between QRS onset and aortic valve closure (
To accomplish target pacing region identification, characterization, pacing optimization, and to identify candidates for CRT as described above, a myocardial motion mapping system may be employed (
Also shown in
Additionally, the mapping acceleration sensing device may be used to facilitate coronary sinus access and cannulation of LV vein branches that feed into the coronary sinus, necessary steps in the mapping process and LV lead implantation. One method to achieve access to the coronary sinus is conducted by dragging the mapping device from the AV node superiorly along the base of the RA, the interatrial septum, or the medial RA wall. When the device moves over or is near the coronary sinus ostium, the flow of blood from the ostium into the RA causes the device and/or tip to deflect or vibrate. The deflection or vibration may be sensed by the acceleration sensor. In addition, once the device is in the coronary sinus, it can be dragged or pushed along the inferior or lower border of the sinus. LV veins are detected by deflection or vibration by the sensor as it passes over the ostia, or branches, of the veins that drain into the coronary sinus. Alternatively, Doppler flow crystals and MEMs pressure sensors, and anemometry flow sensors may be used for coronary ostium identification and LV vein branches. These sensors may also be combined with the acceleration sensor.
In one embodiment, motion signals may be derived from serial, or various, combinations of the sensors or sensor pairs, at a known distance of separation, e.g., 5-15 mm, and may provide multiple velocity, displacement, and strain rate curves synched with a signal related to the start of systole such as single QRS or a contraction stimulus, or isovolumic contraction or mitral valve closure (
Referring in more detail to
The regional motion from each location is recorded and stored and displayed. The motion at each location is compared against the QRS or endocardial pacing signal or the other systolic and diastolic reference points. The region of latest motion relative to the reference point is identified and the lead is positioned to the same anatomical location. It should also be noted that epicardial mapping may be performed during open chest or minimally invasive procedures using the same principles and sensors as above and appropriate device designs.
In another mapping strategy, a roving electrode (e.g., a guidewire) can be positioned in various locations of the LV venous system and RV chamber and a test pacing stimulus applied to the myocardium. Referring to
For example, the sensors 694 may reside on catheter 690, and may be battery powered via battery 698. The sensors may number one, two, or three, each perpendicular to the others, and may have outputs corresponding to a low-frequency (<20 Hz) signal 704, a mid-frequency (20-150 Hz) signal 706, and a high-frequency (>150 Hz) signal 708.
In this way, and referring to
The output of the sensors may be connected to a signal conditioning module and battery power module 714 prior to input into the electrogram recording 716 and display device 718. The output of the signal conditioning module may be analog signals if the electrocardiogram display is to be used. The signal conditioning module may also be used to correct or zero out the effects of gravity and the related tilt signal. Output from the signal conditioning module may also be digital. A microprocessing chip in the conditioning module may also perform functions such as forming a composite signal from multiple orientation axes and integration. The catheter within the guide catheter may have a guidewire lumen through which a pacing guidewire may be used to test pace target sites. This catheter may also have a port for contrast injection and may additionally have a balloon to perform an occlusive venogram.
The sensor catheter 700 may also have a curved tip (e.g., with a 90-degree bend) to facilitate access to tributary veins of the coronary sinus and great cardiac vein. The sensor catheter within the coronary guide catheter could also be moved from septal to lateral within the coronary sinus and great cardiac vein to identify general regions of dyssynchrony. The pacing wire could then be directed to the tributary veins of the coronary sinus or great cardiac veins or to the general region of delayed onset displacement motion. Variables such as the time from QRS onset to aortic valve closure (increase), peak acceleration during isovolumic contraction (increase), the length of the isovolumic contraction time interval (decrease), may be measured and are indicative of a favorable or therapeutic response and a more optimal LV or RV pacing region (
Some patients may respond with favorable LV mechanics with only RV pacing if it is performed in the correct location. The optimal RV site to maximize LV function can be identified in the mapping strategy above. The acceleration sensor may reside in the coronary sinus while the RV pacing site is identified. This may eliminate the need for an LV lead in some patients.
Alternative embodiments are apparent from the above description such as separating the higher frequency sensing accelerometer from the myocardial motion sensing accelerometer. Thus, referring to
The remainder of the system may be the mechanical mapping catheter 722, which includes a guidewire lumen 728 with ports 732 and 734, a pacing electrode 736, acceleration sensor 738, e.g., one that is perpendicular to the catheter's longitudinal axis, an optional acceleration sensor 742, an electrode connector 744, and a sensor connector 746. The catheter 722 may be angled to facilitate LV vein cannulation.
Thus, in still another embodiment, and referring in particular to
A myocardial motion sensing accelerometer 746 is incorporated into a mapping catheter or LV lead 760. In the LV lead design, the conductive elements 754 for the low-frequency myocardial motion accelerometer 746 may be coupled to a proximal lead connector 758. The connector of the lead may be compatible with typical CRT IPGs (e.g., IS-1), although this is not necessary; in fact, the sensor connector and sensor signal may be designed to generally not interfere or even be read by the CRT IPG. Element 762 indicates the CRT pacing and sensing connector area. Connector 756 is also shown, which indicates a removable LV lead accelerometer connector for signal display.
Placement of the catheter is shown in
During placement, the lead connector may be coupled to the acceleration sensor microprocessor display for visualizing myocardial motion signals and optimizing the LV lead placement. Alternatively, the LV lead sensor may be conductively coupled to a removable connector in the proximal lead portion, thus allowing the measurement of myocardial motion during lead placement. The LV lead sensor connector may also be capped after mapping and for long-term implantation. Alternatively, the sensors in this design may be RF MEMs accelerometers that are inductively-powered and which wirelessly transmit the data, thereby eliminating the need for conducting wires or elements.
A venous sheath 838 is used to gain access to the right atrium (“RA”) via the subclavian or femoral vein. This sheath may include an optional mid- to high-frequency acceleration sensor 842. The sheath may have appropriate bends to facilitate entry into the coronary sinus.
A sensing guidewire with one or more sensors 792, 794, at least one being a lower-frequency sensor disposed on a highly flexible tip 796 (e.g., a coil tip 796), is placed into the RA via the sheath. The lower-frequency sensor may be multi-axis. An optional additional sensor may also be provided to sense low or high frequencies. The distance between the sensors may be, e.g., 5-10 mm. The sensor guidewire 800 is used to identify the coronary ostium (as above) by detecting the flow of blood into the RA and is then inserted into the coronary sinus. The guidewire 800 is shapeable or may have a slight bend 798 in the distal region, e.g., a 135 degree bend. The sensor guidewire 800 can then be positioned along the coronary sinus and into the LV veins for measuring myocardial deformation and velocity and comparing it to the reference point signal, i.e., vibrations related to isovolumic contraction/relaxation and/or valve closure, provided by the guide sheath sensor. Alternatively, a double lumen catheter 802 may be positioned into the RA or coronary sinus over the sensor guidewire 800 and an optional higher frequency sensor 804 on this device is used to provide reference signals.
The sensing guidewire 800 maps regions of late deformation, and may further include an electrical connector 806 and an optional proximal sensor 808 for sensing perivalvular events.
The double lumen pacing catheter 802 contains two guidewire lumens 812 and 814, lumen 812 serving as a guidewire sensor lumen and lumen 814 serving as a coronary wire sensor lumen, with openings in the distal tip 816, a pacing electrode 818, an optional coronary sinus occlusion balloon 822 with inflation port 824 for obtaining a venogram, optional acceleration sensors 804, such as for measuring high frequency signals, and the same may also be steerable. The overall diameter may be, e.g., 2-3 mm. Referring in addition to
The double lumen pacing catheter is placed in the coronary sinus over the sensing guidewire. The venous guide sheath may be advanced into the ostium prior to double lumen catheter placement or LV lead placement. The balloon of the double lumen catheter may be inflated and a venogram obtained by injecting contrast though one of the catheter's lumens. After a target pacing region is identified in an LV vein with the sensor guidewire, the double lumen pacing catheter is advanced over the sensor guidewire to the region. Pacing is conducted with the double lumen pacing catheter and optimization of the target pacing site and intervals is carried out. A second guidewire for the LV lead is then advanced down the second lumen of the double lumen pacing catheter and into the target region. The pacing catheter and sensor guidewire are then removed, leaving the lead guidewire in place. The LV lead is then positioned into the target region over the second guidewire. With the double lumen configuration, the sensor guidewire can be made larger and more maneuverable without limiting the ability to place a small over-the-wire LV lead in the target region.
Myocardial motion mapping would be ideal for LV pacing that involves multiple electrodes. CRT may be optimized by pacing and early activation of all late deforming LV sites. Deformation mapping may identify these regions and then guide the placement of electrodes in the areas for CRT. Alternatively, if the mapping catheter is also the LV CRT lead, then the mapping lead may be left in the optimal location and connected to the IPG.
In the above catheter and implantable embodiments, miniaturization of the sensor is critical and wafer or die scale packaging of the sensor component is preferred. Consequently, where the MEMs sensor is attached by conductive elements to a connector and then to a microprocessor and/or display device, specific designs for attachment of the conductive elements to the silicon substrate of the wafer package chip must be utilized. It is particularly important to minimize the number of conductive elements that require attachment to the acceleration sensor. Potentially, at least 5 connections are required for a 3-axis sensor; however, using multiplexing circuitry or averaging the signal from all three sensors can eliminate two wires thus reducing the connections to three. In one embodiment, solder balls are integrated into the sensor die. A flex circuit with bonding pads that aligns with the solder balls is used for attachment to the die. The bonding pads of the flex circuit are in electrical communication with conductive elements that are used to attach to connectors at the proximal end of the catheter. The die part is flipped onto the bonding pad, which is heated to allow the flow of the solder and bonding of the die to the flex circuit.
Alternative methods for conductive element attachment of MEMs sensors are provided in, e.g., U.S. Pat. No. 5,715,827 for a pressure sensor.
As noted above, the general design of the accelerometer sensors measures capacitance changes due to the movement of a proof mass beam with a side arm interdigitated between two capacitor plates. As the proof mass beam and side arm move with acceleration or vibration, the capacitance changes and this signal can be output as a measure of motion.
In this way, the sensor chip can measure extremely small changes in capacitance and thus acceleration. One of the functions of capacitors C1-C5 is to decouple certain voltages so that only signals from the sensor chip are registered at the signal analysis system (another is to provide the circuitry for the passband so that only a certain bandwidth of signals are passed). To ensure that a minimum of stray noise voltage is picked up by the conductive leads, capacitors C1-C5 are disposed as close to the chip as is practical, so that the signal travel distance is as short as possible.
Using the accelerometer sensors above, the frequency dynamics of the isovolumic contraction phase and pathologic cardiac vibrations may also be monitored.
A graph of the cardiac filling and pumping cycle and valvular events is shown in
During the isovolumic contraction phase, the ventricles begin to contract but there is no ejection of blood into the aorta. As the myocardial cells contract, they generate a force that results in the development of wall tension in the ventricles. This contraction causes vibrational motion that is related to cardiac and ventricular resonance. The resonance is related to ventricular diameter, wall thickness, and mechanical properties of the muscle, such as viscoelasticity. Thus monitoring this resonance or vibration may be useful for determining the health or status of the ventricle. For example, in cardiomyopathy the ventricle may dilate and the LV diameter increases. This may be monitored as a reduction in the resonance frequency and changes (increases or decreases) would indicate improving or worsening heart failure. This vibrational motion in its audible form is thought to be the cause the first heart sound and is associated with mitral valve closure. The vibrations may be related to abrupt changes in acceleration and direction of flow of the blood in the ventricular chamber.
In the normal heart, the isovolumic contraction starts within about 10-20 ms of ventricular depolarization (i.e., the R wave on the ECG), and lasts from about 30 milliseconds to 75 milliseconds depending on the heart rate and contractility of the ventricles. In the cardiomyopathic heart, the time interval of the isovolumic contraction phase is prolonged.
The frequency of the vibration motion that occurs during isovolumic contraction changes with the development of myocardial tension. Time-frequency transform analyses of this motion indicates that in the normal heart the frequency rises from about 20 Hz to about 150 Hz in the first 20-50 ms of the isovolumic contraction period. There are approximately 5-8 cycles that occur in this time period. Referring to
Analysis of the frequency dynamics of the ICP can be used to characterize cardiac function and myocardial health. Thus the starting frequency of the ICP vibration motion signal, the peak frequency, and the time interval of change in frequency, may be affected by the mechanical and contractile properties of the ventricles. Peak frequency of this vibrational motion during ICP is probably related to the tension that develops in the ventricles and hence may be related to the contractility of the myocardium. Referring to
In diseased hearts, such as those with cardiomyopathy, the contractile function of the myocardium is reduced, and changes in the thickness and diameter of the LV can cause an increase in the wall tension. These changes also lead to an increase in the time interval of the isovolumic contraction phase. Therefore, monitoring changes in the frequency dynamics of the isovolumic contraction phase can give insights into the cardiac and LV function in cardiomyopathy patients. This frequency information may also be used to monitor the effects of therapy, such as CRT, and to identify target pacing regions in CRT. Similarly, monitoring changes in the time interval of the ICP can be indicative of cardiac function and the response to therapy. Because the frequency and time interval can be measured without having an accurate measure of amplitude, this approach may be preferred.
Similarly, vibrations from pathologic heart conditions may also be indicative of cardiac function and response to therapy. The frequency of the mitral regurgitation signal in cardiomyopathy is related to the degree of LV dilation and the back flow of blood through the mitral valve. Therapies that reduce dilation and or back flow, e.g., CRT or percutaneous annuloplasty, show a favorable response in the frequency and frequency dynamics of this vibration motion. The third or fourth heart sounds are also a vibrational motion that may be present in cardiomyopathy. Changes in the presence and frequency of these signals may be indicative of cardiac function and response to cardiomyopathy therapy. For example, the frequency dynamics of the S4 correlates with ventricular mass which can be indicative of worsening (increased mass) or improving (reduced mass) heart failure. The frequency of the S1 may also correlate with LV stiffness.
Acceleration sensors are well suited for measuring ICP vibration motion and pathologic cardiac vibrational motion. The sensor is preferably based on micro electromechanical (MEMs) principles, which allows for miniaturization and low power consumption. The design and fabrication of capacitance MEMs-based accelerometers are known to those of ordinary skill in the art and may be used in this system. MEMs-based accelerometers are typically fabricated from silicon or semiconductor substrates. The sensor may be fabricated from a radiation-resistant semiconductor as the sensor will be implanted in many cases under fluoroscopic guidance. The general design of the accelerometer measures capacitance changes due to the movement of a proof mass beam with a side arm interdigitated between two capacitor plates. As the proof mass beam and side arm move with acceleration or vibration, the capacitance changes and can be output as a measure of motion. These accelerometers are fabricated from silicon substrates which allows for single-chip fabrication of the sensor with the necessary signal processing circuitry. This single-chip design increases the device's sensitivity as extremely small changes in capacitance can be measured. MEMs-based acceleration sensors as described above can measure milli Gs (1G equals 9.8 meters/sec2) which is suitable for myocardial acceleration measurements which may occur between 50 and 2000 milli Gs or higher. While a capacitive sensor may be used in this embodiment, other acceleration sensor designs could be utilized and are known to those skilled in the art. For example, a thermal acceleration sensor could also be utilized in which the proof mass is a gas. Also, while a multi axis (2 or 3 axes) is preferred, single axis sensors could also be used and oriented appropriately to detect different axes of motion. It should also be noted that a pressure sensor can sense vibrational motion and may also be used to indirectly monitor the frequency dynamics of the ICP.
Preferably 3-axis sensing is utilized. A more accurate measurement of peak amplitude can be measured by calculating the composite acceleration vector of each axis (x, y, and z). This can account for the gravitational acceleration and its effects on sensor tilting. The composite vector can be calculated by taking the square root of the x-axis measurement squared, plus the y-axis measurement squared, plus the z-axis measurement squared. This peak amplitude calculation can be applied to both the vibrational motion and the displacement motion. This may be particularly accurate during the implantation of an LV lead for CRT therapy when the patient is lying still on a procedure table. Here the sensor measures the peak in the LV veins or coronary sinus.
Vibrational motion related to ICP may be sensed in a frequency range greater than 10 Hz and up to 200 Hz. The sensors may be tuned to sense the desired range. Alternatively, band pass filters or digital signal processing could eliminate or reduce frequency bands that are lower or higher.
Sensors can be mounted on devices that access the heart or are disposed near the heart (e.g., via an esophageal probe) to optimally detect the desired ICP. In one embodiment, a uniaxial sensor is oriented such that the axis of acceleration is parallel to the radial plane of the heart, i.e., toward the center of the ventricular chamber. Alternatively, two uniaxial sensors could be oriented longitudinally, e.g., anatomically base to apex, and radially, or three uniaxial sensors, oriented longitudinally, radially, and laterally, may be used. A single triaxial sensor could measure all these components. In another embodiment, two dual-axis sensors are oriented perpendicularly to each other in the catheter or LV lead device. This provides three axes in the appropriate planes.
The acceleration sensor is coupled to a signal processing and powering module. A battery may be used to power the sensor but other sources may also be utilized. Acquisition of the signal may be triggered by a ventricular depolarization signal from a cardiac electrogram. For example, the R-wave from a surface cardiac electrogram (ECG) may serve as a trigger. The vibrational acceleration signal may then be acquired for about 100 ms. A shorter time interval for sampling could also be used (e.g., 50 ms) to focus in on the initial frequency associated with a rise in ventricular wall tension. A longer sampling interval may be used to acquire the mitral valve regurgitation and third/fourth heart sound signals. The R-wave or another signal of ventricular depolarization can also be used to provide a zero point for the acquisition of acceleration signals, and will also factor in the effects of gravity and tilt of the sensor. Thus, the accelerations signal measured around the time of the R-wave signal can be used as an off-set correction for subsequently acquired signals.
The signal may be first amplified by an isolation amplifier that provides an isolation barrier to reduce the potential for electric shock hazard. The signal may be then band-pass-filtered to remove lower frequency (e.g. <10 Hz) and high frequency (e.g. >300 Hz) signals. The signal may then be subject to processing, both digital and analog, to characterize and identify the frequency changes of the ICP. Representative analog processing may be used to measure the spacing between signal crossing above a certain threshold (e.g. +/−10-50 milli Gs). The time interval between the first two crossings may be indicative of the base line frequency. The shortest time interval between crossings may be indicative of the highest frequency. Digital signal processing could include the mathematical computations such as time-frequency transforms (See, e.g. “Time-frequency transforms: a new approach to first heart sound frequency dynamics”, IEEE transactions in Biomedical Engineering, vol. 39, no. 7, July 1992) with peak frequency identification. Taking the mathematical derivative of the acceleration signal, analog or digital, would identify jerk motion. Measuring the jerk signals and the time difference between these signals could similarly characterize the frequency signal.
The output of the signal processing could be digital or analog and could be displayed on a workstation for graphical display of the ICP vibration. For example, an analog output would allow the signal to be input into a multi-channel electrogram recorder. The workstation would typically have data storage and analysis capabilities. Alternatively a single number, such as the peak frequency or peak frequency divided by measured time interval, could be displayed. An accurate peak amplitude could be multiplied or divided by the time interval or frequency, or both multiplied and divided by the time interval or frequency, to yield a value related to LV function and improved response to therapies such as cardiac resynchronization therapy. Changes in this number would be used to guide the therapy and make changes such as the position of the LV pacing lead.
Devices and systems for incorporating acceleration sensors are described in the pending non-provisional patent application incorporated by reference above. The disclosed devices could be used to characterize the frequency dynamics of the ICP and pathologic LV vibration motion. Descriptions of exemplary devices are representative of acceleration sensing devices for the ICP and pathologic heart sounds.
An acceleration sensor may be incorporated into a catheter for insertion into the LV veins such as the coronary sinus, great cardiac veins, or tributary vessels of these veins. The acceleration sensor may also be incorporated into a probe inserted into the esophagus, which lies immediately behind the posterior surface of the heart. The acceleration sensor may be a single dual axis sensor oriented perpendicularly to the long axis of the catheter. This orientation of the sensor allows the measurement of longitudinal and radial acceleration signals, which predominate in the heart, from the coronary sinus and great cardiac vein. The catheter probe may have a guidewire lumen; however this may not be required for an esophageal probe. The catheter or esophageal probe may monitor the frequency dynamics of the ICP and assess LV function. The esophageal probe could be used to monitor the ICP and third and fourth heart sounds to detect ischemia, for example during surgical procedures. For example, a decrease in amplitude of the ICP signal as measured by the esophageal probe could be indicative of ischemia. Because the esophageal probe would not move with heart contraction and the patient would be still during surgery, more accurate amplitude measures could be obtained.
In addition the catheter and esophageal probe may be used to identify target LV pacing regions for CRT using a pacing guide wire. Referring to
A pacing guidewire 120 is shown in
The output of the sensors may be connected to a signal conditioning module and battery power module 714 prior to input into the electrogram recording 716 and display device 718. The output of the signal conditioning module may be analog signals if the electrocardiogram display is to be used. The signal conditioning module may also be used to correct or zero out the effects of gravity and the related tilt signal. Output from the signal conditioning module may also be digital. A microprocessing chip in the conditioning module may also perform functions such as forming a composite signal from multiple orientation axes and integration. The catheter within the guide catheter may have a guidewire lumen through which a pacing guidewire may be used to test pace target sites. This catheter may also have a port for contrast injection and may additionally have a balloon to perform an occlusive venogram.
A pacing guidewire would be positioned in various regions of the LV veins to elicit contractions. The LV response to this pacing may be measured by monitoring the frequency dynamics of the vibrational motion during ICP with the catheter.
Alternatively the frequency dynamics or amplitude could be measured with the esophageal probe. LV regions associated with changes in the ICP frequency indicative of improved LV function would be target pacing regions. For example, an increase in the peak frequency, the rate of change of the frequency over time, a reduction in the baseline frequency, or some combination of the three may be indicative of improved LV function. Similarly, the location of implantation and pacing of the RV lead or right atrial lead may also be optimized by test pacing and monitoring the frequency dynamics of the ICP.
The change in the presence or frequency of the third or fourth heart sounds may also be indicative of a favorable response to pacing and hence help identify a target pacing region. Changes in the frequency and duration of vibration motion related to mitral valve regurgitation may also help guide therapy and target pacing regions. Thus a reduction in the frequency or duration of the signal may be indicative of a favorable response.
In more detail, referring to
ECG 556 shows the QRS and T waves along with a pacing spike 566 which is delivered in the LV vein region. Examination of curve 558 shows a delayed onset motion 568 but a lessened delayed onset motion 572 following the pacing spike. Curve 562 shows a value of ejection phase 574, as measured by the time between the MVC or IVC and the AVC or IVR, and then a longer ejection phase 576. Here the MPI can be seen to be MPI=(a+b)/c. Curve 564 shows a reduced MVR signal 578 as compared to the pre-pacing MVR signal 582. Finally, it is noted that paced signal shows no third heart sound.
The accelerometer for monitoring the frequency dynamics of heart sounds may also be integrated into a pulse generator of a CRT/defibrillator device, including leadless defibrillator devices implanted subcutaneously over the chest. This device would be implanted subcutaneously on the chest or abdomen and would sense the vibrational motion of the heart sounds (S1, S2, S3, S4 and valvular murmurs) to characterize the peak amplitude and frequency. This pulse generator could perform software algorithms to characterize the frequency dynamics of these sounds and assess LV function and pathology including contractility, mitral regurgitation, LV thickening etc. The start of systole as measured by the cardiac electrogram (internally or externally measured by the IPG) could be used to synchronize the accelerometer sensor with the onset of systole. Thus the S1 vibrational motion as measured by the accelerometer would occur within a few milliseconds of the sensed electrogram. Thereafter, additional vibrational motion (S2, S3, and S4 and murmurs) could be identified based on there occurrence after the electrogram and S1. Additional a time window of sensing with the acceleration sensor (e.g. 100 ms) could be sensed to measure only the S1. This information could be uploaded via a radiofrequency link to provide a read out to the physician for monitoring purposes. The RF communication device that would acquire the data from the pulse generator could reside at the patients home and be transmitted to a physician or central monitoring station via the internet or a phone line link. The accelerometer could be used to sense that the patient in whom the device is implanted is not moving and is in the proper orientation (e.g., upright or lying flat) prior to the acquisition of the heart function data.
A stand alone implantable accelerometer device (IAD) (i.e., not incorporated into the IPG/CRT device) could also be implanted subcutaneously or subpectorally and not require a transvenous lead or extension. For example, referring to
Analysis of the frequency dynamics of the ICP (catheter or esophageal probe) could also be used to optimize the pacing timing intervals for CRT (A-V and V-V). Thus the V-V timing could be set to 0 ms (both ventricles paced simultaneously), and the AV delay could be varied between about 100 and 140 ms. The AV delay that provides the highest peak frequency (or some other measure of improved cardiac function) during ICP could be chosen. Subsequently the A-V delay would be fixed at the previously determined optimal value and the V-V delay could be varied between −30 ms (LV to RV; thus −30 means the RV was paced 30 ms before the LV) to +30 ms LV to RV. Again the interval causing the highest peak frequency during ICP may be chosen. An automated system could run through the various pacing timing intervals and monitor the frequency dynamics of the ICP and provide optimal timing intervals.
The acceleration sensor may also be incorporated into the lead of a CRT or CCM device. The sensor may monitor the frequency dynamics of the ICP to ascertain cardiac function in a manner similar to the above. The sensor could also be used to test different timing intervals for the atrioventricular and interventricular timing. The sensor may also be integrated into other implantable devices such as cardiac stents or epicardial leads to monitor cardiac function through analysis of the frequency dynamics of the ICP and pathologic heart sounds.
A 3-axis acceleration sensing coronary sinus catheter can be used to directly measure dyssynchrony of the heart and LV globally from the coronary sinus. Dyssynchrony may be a better assessment of response to CRT therapy than indices related to LV function, as tissue Doppler studies have correlated improvement in synchrony with improvements in response to CRT, including: LV remodeling, six-minute walk test, ejection fraction, and other clinical and physiologic outcomes. Measuring synchrony with the acceleration sensing catheter can also be used to guide LV lead placement and optimize timing intervals.
Motion of the heart may be defined as acceleration, velocity, or displacement. Much of the motion of the heart is longitudinal acceleration from the base to the apex, with the region of the mitral valve plane descending inferiorly. Radial acceleration to stiffen the ventricle also occurs at the mitral valve plane as well as rotational acceleration of the heart as it contracts longitudinally. Thus global LV motion, or acceleration, occurs in three different axes. Because the coronary sinus runs along the AV groove at the mitral valve plane this global LV motion or contraction at the mitral valve plane can be sensed with a 3-axis accelerometer device placed in the coronary sinus. A three axis accelerometer is ideally suited to measure the three components of cardiac motion. Some of the dyssynchronous motion can be measured in the lower frequency displacement motion (less than about 20 Hz). Each axis of acceleration can be measured independently or a composite such the square root of axis X squared plus axis Y squared plus axis Z squared (referred to as RMS in figures). The acceleration signal from each axis can be integrated to determine velocity and a composite of the velocity signal can be formed. The frequency changes below 20 Hz between 20 Hz and 200 Hz, related to myocardial motion, measured at the coronary sinus can also be used to assess dyssynchrony using a multi-axis acceleration sensing coronary sinus catheter.
Prior disclosures (e.g. Chinchoy 20040172079 and Yu 6,923,772) use accelerometers to measure ventricular wall motion at more than one location and compare acceleration between the two walls. The greater the difference in the time between the two wall accelerations the less synchronous the contraction is. It is not practical, particularly for the different left ventricular walls, to place multiple accelerometers. This disclosure provides for a simpler approach using a single triaxial accelerometer to be placed in the coronary sinus, a readily accessible vessel, using a catheter device.
Also, prior disclosures (Chinchoy U.S. Pat. No. 6,871,088; Marcus U.S. Pat. No. 6,978,184) use the accelerometer signal as a surrogate for hemodynamic parameters of the heart such as dP/dt or ejection fraction. Hemodynamic changes, such as an increase in dP/dt, do not necessarily predict the outcome or response to CRT therapy. Dyssynchrony, which is a measure of how coordinated or uniformly the ventricle contracts, does predict outcome and response to CRT. Hence a direct measure of dyssynchrony and identification of dyssynchrony indices would be preferred.
A coronary sinus catheter with an integrated acceleration sensor can be constructed using a silicon-based 3-axis capacitive based MEMS sensor (e.g. ST Microelectronics LIS302AL). The sensor and electronics can be surface mount packaged into a 3 mm×5 mm housing. The sensor housing or external package can be shaved or milled by 0.005 to 0.010 inches along the length on each side and a chamfer can be cut into the top edge at up to and approximately 0.015 inches per side without affecting performance of the device. This allows the construction of a smaller diameter catheter to facilitate placement in the coronary sinus. The acceleration sensor can be surface mounted with the appropriate capacitors, as previously described, onto a circuit board approximately 0.100 inches wide and up to about 1.000 inches long. The circuit board also has contacts for surface mounting of capacitors. Approximately 30 gauge wire can be soldered to the proximal portion of the board to traverse the length of the catheter for making appropriate electrical connections. The distance between the power source and the sensor in a catheter design is inherently long and may be greater than 50 cm and as long as 10 feet particularly if the power source must be kept out of the sterile field. Because the sensor is capacitive and ratiometric, wherein the sensor output acceleration signal is proportional to the excitation supply voltage at the sensor, the excitation supply voltage must be kept constant at the sensor to avoid or minimize sensor output variations, erroneous signals, or significant deviations in signal quality, due to input supply voltage fluctuations from environmental electromagnetic interference induced or coupled along the length of the catheter wires. To accomplish this, decoupling capacitors must be mounted in close proximity to the sensor on the sensor board. In this catheter design the decoupling capacitors for power are mounted adjacent to the sensor on the printed circuit board in the catheter tip. Hence the capacitors must be of appropriate size and design for integration into the tip. In addition, capacitors are mounted adjacent to the sensor for each acceleration output to band limit and filter the signal to the desired frequency range to prevent sensor self resonance from corrupting the true acceleration signals. An appropriately sized capacitor can be selected for each acceleration channel to limit the high frequency response of the sensor to ensure high frequency oscillations from self resonance can be effectively filtered out and eliminated.
The sensor and board can then be bonded into a polymeric tube with a guide wire lumen. A Y-connector at the proximal portion of the catheter will allow guide wire lumen access and the wires from the sensor board to be routed to a connector that interfaces with a power and signal conditioning unit. The signal conditioning unit receives the wires in electrical communication with each axis of the sensor via the board. In addition, the unit provides power and ground to the sensor from a 9 V battery. The signal conditioning unit can filter the sensor signal to less than about 600 Hz, provide electrical isolation to meet endovascular catheter medical standards (e.g. current leakage less than 10 microamperes), and convert the signal output to be compatible with an ECG display. The signal conditioning unit also contains an ECG input that allows the acceleration signal to be synched with the ECG input for simultaneous display of both the ECG and acceleration wave forms.
The catheter can placed into the coronary sinus of an animal from the right or left internal jugular or subclavian. A guide wire and guide catheter may be used to facilitate cannulation of the coronary sinus. Alternatively, the acceleration catheter is of appropriate shape and design to cannulate the coronary sinus. Appropriate shapes have a curve or arc ranging from approximately 90 to 270 degrees with a radius of approximately 3-10 cm. In addition, the catheter preferably has a proximal brained section to improve torqueability and pushability. The acceleration catheter can be placed over a standard 0.035 guide wire into the coronary sinus to a position in the mid to lateral region of the sinus. The sensor may be maintained in about the same location. A right ventricular pacing catheter or implantable pacing lead may be positioned in to the RV and the location can be fixed. The pacing catheter or implantable lead can be connected to one arm of a “Y” electrical connector to the output of an external pacing device. The other arm of the Y connector attaches to preferably an LV pacing guide wire or pacing device. The LV pacing guide wire may have an electrically uninsulated or conductive tip and proximal uninsulated or conductive portion allowing electrical pacing pulses to be delivered by the wire to the myocardium. The LV pacing guide wire can be maneuvered in the coronary sinus and tributary veins of the LV through the lumen of the acceleration sensing catheter guide wire lumen or separately. Baseline acceleration signals are captured. The acceleration pattern can be displayed on an ECG or endocardial electrogram output or CRT device programmer. Biventricular or left ventricular test paces are delivered to the heart from different locations on the LV. The pattern of acceleration can be observed to identify a location that provides the most synchronous pattern. Alternatively numerical indices of dyssynchrony can be determined and the location that gives the most optimal change in the numerical index can be identified. Once the desired pacing location in the LV is identified the pacing guide wire is left in that location. The implantable CRT LV pacing lead can then be maneuvered over the wire and positioned in the optimal location. Subsequently, a series of timing intervals for the V-V timing between about +40 ms to about −40 ms LV contraction to RV contraction can be tried and the interval that gives the greatest improvements in acceleration patterns and numerical indices can be selected. Similarly, a series of A-V timing intervals from about 150 ms to about 300 ms can tried and the interval that gives the greatest improvements in acceleration patterns and numerical indices can be selected.
It may be more desirable to characterize an acceleration pattern with numerical indices, which may be referred to as dyssynchrony indices. Numerical indices can be determined from acceleration patterns through microprocessor based signal processing. In this way, improvements in dyssynchrony can be monitored by assessing the changes in the numerical value (e.g. increase or decrease). The indices may be used to determine responders to CRT therapy. More than one index may be combined to better assess numerical changes and identify improved dyssynchrony, including thresholds that may indicate a response to the therapy. The acceleration pattern can be processed by a microprocessor, with appropriate algorithms or instructions, to compute the indices from the acceleration pattern or waveform. Instructions may be stored on computer readable medium. The microprocessor may be incorporated into the signal conditioning module or may be in an external microprocessor device that the signal conditioning module outputs to. The processing instructions of the pattern to compute one or more dyssynchrony indices may involve normalizing the acceleration signals by subtracting out the average signal for each axes, phase averaging of the measured acceleration signals, correction for gravity, computing the composite acceleration signal from multiple acceleration axes, detecting the peak (s) of the acceleration signal (s), detecting the peak of the ECG signals, computing time intervals, and calculating the variability of the time intervals. The processing may also involve performing Fourier transforms and generating frequency spectrums.
There are several numerical indices that can be measured to assess dyssynchrony that can be ascertained from
Second is the time delay from onset of ventricular electrical activity (e.g., peaks of the QRS complex or onset of QRS components such as R wave or S) to peak motion, acceleration, velocity, or displacement of the LV during systole (e.g., systole may determined as the time between QRS onset and the T-wave on ECG or by valve mitral valve closure/isovolumic contraction as discussed above as measured by the acceleration sensor).
Third is the time delay from onset of ventricular electrical activity (e.g., peaks of the QRS complex or onset of QRS components such as R wave or S) to the onset of motion, acceleration, velocity, or displacement of the LV during diastole (e.g. diastole may be determined as the time after the T-wave on ECG or by aortic valve closure/isovolumic relaxation as determined by the sensor).
Fourth is the time delay from onset of ventricular electrical activity (e.g., peaks of the QRS complex or onset of QRS components such as R wave or S) to peak motion, acceleration, velocity, or displacement of the LV during diastole (e.g., diastole may be determined as the time after the T-wave on ECG or by aortic valve closure/isovolumic relaxation as determined by the sensor).
Fifth is the ratio of the peak motion, acceleration, velocity, or displacement, during systole and diastole.
Sixth is the time interval between the peak motion acceleration, displacement, or velocity of systole and diastole (shorter the time interval the greater the dyssynchrony).
Seventh is the number of motion peaks during systole greater than a threshold (e.g. 100 or 200 milli gs or some proportion, such as approximately 30% to 50%, of the largest peak).
Eighth is the time delay between two highest peaks motion, acceleration, velocity, or displacement during systole (larger delay between peaks correlates with dyssynchrony).
Ninth is the variability (e.g. standard deviation) of time delay from onset of ventricular electrical activity (e.g. peaks of the QRS complex or onset of QRS components such as R wave or S) to peak motions, acceleration, velocity, or displacement in each acceleration axis (X, Y, or Z)
Tenth is the variability (e.g. standard deviation) of peak motion, acceleration, velocity, or displacement in each independent axis (X, Y, or Z).
Eleventh is the reduction in the peak acceleration (milli gs) of delayed contraction/acceleration.
Twelfth is the frequency of peak amplitude of power spectrum above threshold (e.g. greater than 4 or 8 Hz).
Thirteenth is the acceleration axis with the dominant frequency (indicating a shift in the orientation of the motion).
Fourteenth are the cross correlations of time-frequency transforms between ECG signal and acceleration signals or between different acceleration signal axes. Cross correlations would indicate the required shift in frequency or time required to synchronize two different frequency spectra.
Data from these indices is provided in the table below demonstrate the differentiation of dyssynchrony and synchrony using some of the above indices.
Indices of Dyssynchrony Synchronous Dyssynchronous 1. Time delay to peak acceleration 51 ms 155 ms 3. Number of peaks >200 m gs 3 peaks 6 peaks 4. Time delay between 2 highest peaks 14 ms 135 ms 5. Standard deviation peak acceleration 5 ms 79 ms each axis X, Y, & Z 6. Frequency peak power spectrum 22 Hz 15 Hz >10 Hz 7. Channel with peak power spectrum Channel 3 Channel 2 >10 Hz
Time frequency transforms (
One method used to characterize synchrony and dyssynchrony and to develop indices for these states may be ECG-locked spectral perturbation. The accelerometer data are first aligned to event (e.g., R-wave of ECG) onsets. The power spectrum is then computed over a sliding latency window and average across the resultant spectral information from multiple heart beats. In the ECG spectral change image, the color at each time/frequency image pixel then indicates power (in dB) at a given frequency and latency relative to the time locking event. Typically, for n trials, if Fk (f, t) is the spectral estimate of trial k at frequency f and trial latency t, then
To compute Fk (f, t), a short-time Fourier transform, a sinusoidal wavelet transform (i.e., a short-time discrete Fourier transform), wavelet, or a Slepian multitaper decomposition (Thompson, 1982) may be used. Differences between these decompositions as applied to accelerometer/ECG data may be small (though the number of cycles in each data window may be critical).
Patterns of time frequency transforms during synchronous contraction indicate a peak frequency energy of about 50 to 60 Hz occurring within 15 milliseconds of the onset of ventricular electrical activity (R-wave or systole or at isovolumic contraction) on the on the surface ECG. These higher energy (>about 5-10 dB) frequencies are primarily seen in the longitudinal and radial axes (Channels 1 & 3) of the accelerometer, with very little higher energy frequencies in these ranges seen in the Y-axis (Channel 2). During relaxation (after the T-wave on the ECG and isovolumic relaxation), there are higher energy frequencies that occur above 100 Hz and are present in all three axes of the accelerometer (Channels 1, 2 & 3). Numerical indices may be derived based on these time-frequency plots, which characterize a synchronous contraction.
During a dyssynchronous contraction, there is a wide dispersion of frequency energy ranging from 20 Hz to 100 Hz occurring within about 30 to 35 milliseconds after the onset of ventricular electrical activity (R-wave) on the surface. ECG. There is loss of higher energy frequencies occurring during relaxation (after the T-wave on ECG) and a complete loss of these frequencies above 100 Hz. Improvements in dyssynchrony associated with pacing (biventricular or left ventricular) may be assessed by monitoring the return of higher frequencies during relaxation, a reduction in the time to peak frequency energy, and a reduction in the dispersion or variability of frequency energy during systole or after onset of ventricular electrical activity. In addition, numerical indices may be derived based on these time-frequency plots, which would allow the assessment of an improvement in dyssynchrony with pacing. Other features and characteristics that distinguish dyssynchrony and synchrony may be ascertained by review of
Inter acceleration axes, or acceleration sensor channel, coherence may also be analyzed. Coherence is the property of wave-like states that enables them to exhibit interference. It is also the parameter that quantifies the quality of the interference (also known as the degree of coherence). It was originally introduced in connection with Young's double-slit experiment in optics but is now used in any field that involves waves, such as acoustics, electrical engineering, and quantum physics. In interference, at least two wave-like entities are combined and, depending on the relative phase between them, they can add constructively or subtract destructively. The degree of coherence is equal to the interference visibility, a measure of how perfectly the waves can cancel due to destructive interference.
Waves of different frequencies (in light these are different colors) can interfere to form a pulse if they have a fixed relative phase-relationship (see Fourier transform). Conversely, if the waves of different frequencies are not coherent then when combined they create a wave that is continuous in time (e.g., white light or white noise). The temporal duration of the pulse Δt is limited by the spectral bandwidth of the light Δf according to:
which follows from the properties of the Fourier transform (for quantum particles it also follows from the Heisenberg uncertainty principle.
If the phase depends linearly on the frequency (i.e., θ(f) ∝f) then the pulse will have the minimum time duration for its bandwidth (a transform-limited pulse), otherwise it is chirped (see dispersion).
Inter-heartbeat Coherence (IHC), or more precisely inter-heartbeat phase coherence (IHPC), measures the partial or complete reliability of spectral phase at a particular frequency and latency across a set of trials. This measure was introduced in EEG literature by Tallon-Baudry et al. (1996) as the ‘phase locking factor.’ The term ‘inter-trial coherence’ refers to its interpretation as the event-related phase coherence between recorded EEG activity and an event indicator function (e.g., a Dirac or cosine function centered on the time-locking events). Using the same notation as above
where ∥ represents the complex norm.
Synchronous contraction is associated with the presence of inter heart beat coherence during systole (isovolumic contraction or immediately after onset of ventricular electrical activity) at frequencies greater than about 80 to 100 Hz. The time to peak coherence occurs within about 15 milliseconds. Dyssynchronous contraction is associated with a loss of inter heart beat coherence at frequencies greater than about 80 to 100 Hz and a delayed time to peak coherence to greater than about 30 milliseconds. Improvements in dyssynchrony associated with pacing (biventricular or left ventricular) may be assessed by monitoring a return of coherence in the higher frequencies and/or a reduction in the time to peak coherence. Other features and characteristics that distinguish dyssynchrony and synchrony may be ascertained by review of
Indices related to dyssynchrony which may be derived from time frequency transforms and coherence analysis include: dispersion of or variability of frequency energy during systole, isovolumic contraction, or following onset of ventricular electrical; time to peak frequency and energy systole during systole, isovolumic contraction, or following onset of ventricular electrical; magnitude or presence of frequency energy during relaxation or following the T-wave on ECG; shift in acceleration sensor axis with peak frequency energy; loss of higher frequency inter heart beat coherence (e.g. greater than about 80 Hz); and reduced inter accelerometer axis coherence.
Monitoring changes in these indices may indicate a more synchronous heart function during treatment such as pacing. For example, a reduction in the dispersion of frequency energy may indicate better dyssynchrony.
Gathered or acquired information of a subject is mathematically processed so as to identify relationships among the multiple variables that correlate with predefined classes. Once such relationships (also referred to as patterns, classifiers, or fingerprints) have been identified, they can be used to predict the likelihood that a subject belongs to a particular class represented in the population used to build the relationships. In practice, a large set of information, termed the training or development dataset, is collected and used to identify and define diagnostic patterns that are then used to prospectively analyze the acquired information of subjects that are members of the testing, validation, or unknown dataset and that were not part of the training dataset to suggest or provide specific information about such subjects.
There are a number of data analysis methods that have been implemented and documented with application to disease recognition. Analysis methods fall under the headings of data mining, information retrieval, pattern recognition, clustering, classification, statistical analysis, machine learning and other artificial intelligence techniques, and discriminator analysis to name a few. Preferably, signal processing techniques are applicable to correlate specific traits with a known or unknown disease marker. Within those methods, particular algorithms that are known to those of skill in the art and that have been employed include k-means, k-nearest neighbors, artificial neural networks, t-test hypothesis testing, genetic algorithms, self organizing maps, as well as principal component regression. See, for example, Duda et at, 2004, Pattern Classification, John Wiley & Sons, Inc.; Hastie et al., 2001, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Springer, New York; and Agresti, 1996, An Introduction to Categorical Data Analysis, John Wiley & Sons, New York, Russell & Norvig, 2004, Artificial Intelligence: A Modern Approach, Prentice Hall; 2nd edition; each which are hereby incorporated by reference in their entirety. The manner in which these building-block algorithms are implemented and combined can vary significantly. Different methods can be more effective for different types of multivariate data or for different types of classification (e.g., diagnostic vs. prognostic).
Methods for disease recognition or correlation utilizing the above methods have been documented in various references. See, for example, Hitt, “Heuristic Method of Classification,” United States Patent Publication No. 2002/0046198, published Apr. 18, 2002; Hitt et al., “Process for discriminating between biological states based on hidden patterns from biological data,” United States Patent Publication No. 2003/0004402, published Jan. 2, 2003; Petricoin et al., 2002, “Use of proteomic patterns in serum to identify ovarian cancer,” Lancet 359, pp. 572-7, Lilien et al., 2003, “Probabilistic Disease Classification of Expression-Dependent Proteomic Data from Mass Spectrometry of Human Serum,” Journal of Computational Biology, 10, pp. 925-946; Zhu et al., 2003, “Detection of cancer-specific markers amid massive mass spectral data,” Proceedings of the National Academy of Sciences 100, pp. 14666-14671; and Wang et al., 2003 “Spectral editing and pattern recognition methods applied to high-resolution magic-angle spinning 1H nuclear magnetic resonance spectroscopy of liver tissues,” Analytic Biochemistry 323, pp. 26-32; each of which is hereby incorporated by reference in its entirety.
Specifically, Hitt et al. “Process for discriminating between biological states based on hidden patterns from biological data,” United States Patent Publication No. 2003/0004402, published Jan. 2, 2003 disclose a method whereby a genetic algorithm is employed to select feature subsets as possible discriminatory patterns. In this method, feature subsets are selected randomly at first and their ability to correctly segregate the dataset into known classes is determined. As further described in Petricoin et al., 2002, “Use of proteomic patterns in serum to identify ovarian cancer,” Lancet 359, pp. 572-7, the ability or fitness of each tested feature subset to segregate the data is based on an adaptive k-means clustering algorithm. However, other known clustering means could also be used. At each iteration of the genetic algorithm, feature subsets with the best performance (fitness) are retained while others are discarded. Retained feature subsets are used to randomly generate additional, untested combinations and the process repeats using these and additional, randomly generated feature subsets.
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|Cooperative Classification||A61N1/3627, A61B5/6851, A61B5/6869, A61B5/6852, A61B5/6862, A61B5/6876, A61B5/726, A61B5/11, A61B5/0452, A61B5/021, A61B5/0031, A61B7/00, A61B5/0456, A61B5/1102, A61B5/0422, A61B2562/028|
|European Classification||A61B5/11D, A61B5/021, A61B5/0452, A61B5/0456, A61B5/11, A61B5/042D, A61N1/362C|
|Sep 25, 2007||AS||Assignment|
Owner name: CARDIOSYNC, INC., CALIFORNIA
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:DOBAK, JOHN D., III;REEL/FRAME:019876/0684
Effective date: 20070821