|Publication number||USH1929 H|
|Application number||US 09/185,457|
|Publication date||Dec 5, 2000|
|Filing date||Oct 3, 1998|
|Priority date||Oct 3, 1998|
|Publication number||09185457, 185457, US H1929 H, US H1929H, US-H-H1929, USH1929 H, USH1929H|
|Original Assignee||Citak; Brian|
|Export Citation||BiBTeX, EndNote, RefMan|
|Referenced by (17), Classifications (8), Legal Events (1)|
|External Links: USPTO, USPTO Assignment, Espacenet|
This invention relates generally to cardiac rhythm management systems and particularly, but not by way of limitation, to a cardiac rhythm management system with a lead impedance measurement circuit.
When functioning properly, the human heart maintains its own intrinsic rhythm, and is capable of pumping adequate blood throughout the body's circulatory system. However, some people have irregular cardiac rhythms, referred to as cardiac arrhythmias. Such arrhythmias result in diminished blood circulation. One mode of treating cardiac arrhythmias is via drug therapy. Drugs are often effective at restoring normal heart rhythms. However, drug therapy is not always effective for treating arrhythmias of certain patients. For such patients, an alternative mode of treatment is needed. One such alternative mode of treatment includes the use of a cardiac rhythm management system. Such systems are often implanted in the patient and deliver therapy to the heart.
Cardiac rhythm management systems include, among other things, pacemakers, also referred to as pacers. Pacers deliver timed sequences of low energy electrical stimuli, called pace pulses, to the heart, such as via a transvenous leadwire having one or more electrodes disposed in the heart. Heart contractions are initiated in response to such pace pulses. By properly timing the delivery of pace pulses, the heart can be induced to contract in proper rhythm, greatly improving its efficiency as a pump. Pacers are often used to treat patients with bradyarrhythmias, that is, hearts that beat too slowly, or irregularly.
Cardiac rhythm management systems also include cardioverters or defibrillators that are capable of delivering higher energy electrical stimuli to the heart. Defibrillators are often used to treat patients with tachyarrhythmias, that is, hearts that beat too quickly. Such too-fast heart rhythms also cause diminished blood circulation because the heart isn't allowed sufficient time to fill with blood before contracting to expel the blood. Such pumping by the heart is inefficient. A defibrillator is capable of delivering an high energy electrical stimulus that is sometimes referred to as a countershock. The countershock interrupts the tachyarrhythmia, allowing the heart to reestablish a normal rhythm for the efficient pumping of blood. In addition to pacers, cardiac rhythm management systems also include, among other things, pacer/defibrillators that combine the functions of pacers and defibrillators, drug delivery devices, and any other systems or devices for diagnosing or treating cardiac arrhythmias.
One problem that arises in cardiac rhythm management devices is in determining lead impedance, that is, the effective resistance of the leadwire that couples the cardiac rhythm management device to the heart for delivering the electrical pacing pulses at electrodes within the heart. The value of the lead impedance provides useful information. For example, an extremely low lead impedance value may indicate a short circuit between the pacing electrodes. An extremely large lead impedance value may indicate an open circuit such as, for example, resulting from a leadwire that has become disconnected from the cardiac rhythm management device. Both defective leadwire conditions must be detected and remedied if the cardiac rhythm management device is to provide effective pacing therapy to the heart.
It is possible to calculate lead impedance based on a measurement of voltage droop from a capacitively coupled pacing pulse delivered to the heart. However, a lead impedance measurement based on measured pacing voltage droop typically requires a complicated natural logarithm function, ln(), to be performed. Because of the difficulty associated with performing a complex natural logarithm function, ln(), there is a need for other techniques of measuring lead impedance that avoid performing a complex natural logarithm, ln(), function.
The present system provides a lead impedance measurement based on measured pacing voltage droop, but which does not require a complex natural logarithm function to be performed at the time of the lead impedance measurement. This allows the lead impedance measurement to be performed completely within an implanted cardiac rhythm management device that does not need to incorporate circuits for performing the natural logarithm function. Because lead impedance measurements can be made entirely within the implanted cardiac rhythm management device, there is no need to communicate data to an external programmer for performing a natural logarithm function and determining the lead impedance in the external programmer.
Because lead impedance is measured entirely within the cardiac rhythm management device, the cardiac rhythm management device is capable of automatically performing several desirable functions. In one embodiment, performing the lead impedance measurement entirely within the implanted cardiac rhythm management device allows the implantable device to perform an Exit Shipping State function. In one such example, the implantable cardiac rhythm management device is placed in a shipping state when shipped from a manufacturing facility. Upon detecting a substantial decrease in lead impedance (or an increase in voltage droop at the lead terminals) from the open-circuit condition in which it is shipped, the cardiac rhythm management device automatically exits the shipping state and begins delivering pacing pulses at nominal pacing conditions (e.g., VVI mode, 3.5 Volt and 0.4 millisecond pace pulses).
In another embodiment, performing the lead impedance measurement entirely within the implanted cardiac rhythm management device allows the device to perform an Auto Lead Configuration function. In one such example, the implanted cardiac rhythm management device automatically switches from bipolar pacing (i.e., delivering pacing pulses between electrodes that are both disposed on a distal tip of the leadwire in the heart) to unipolar pacing (i.e., delivering pacing pulses between an electrode disposed on the distal tip of the leadwire in the heart, and a second electrode located on the housing of the implanted cardiac rhythm management device implanted in the pectoral region or elsewhere). This allows pacing pulses to continue to be provided from a good electrode in the heart if the other electrode in the heart becomes disconnected from the cardiac rhythm management device, such as by a break in the leadwire connecting that electrode to the cardiac rhythm management device.
In the drawings, like numerals describe substantially similar components throughout the several views.
FIG. 1 is a schematic diagram illustrating generally a cardiac rhythm management device and an environment in which it is used.
FIG. 2 is a schematic/block diagram illustrating a portion of a cardiac rhythm management device in more detail.
FIG. 3 illustrates portions of a lead impedance measurement circuit.
FIG. 4 is a signal graph illustrating generally the magnitude of a pacing voltage VEE and the magnitude of an output voltage vz of a gain circuit as a function of time.
FIG. 5 is a flow chart illustrating generally one method of using a cardiac rhythm management system and a lead impedance measurement circuit to obtain lead impedance measurements.
In the drawings that accompany the following detailed description, like numerals describe substantially similar components throughout the several views.
This document describes a cardiac rhythm management system including a lead impedance measurement system. FIG. 1 is a schematic diagram illustrating a cardiac rhythm management system 100 including a cardiac rhythm management device 105 coupled to a heart 110 via a leadwire 115. Leadwire 115 includes electrodes, such as tip electrode 120A and ring electrode 120B for delivering bipolar pacing pulses therebetween.
FIG. 2 illustrates a portion of device 105 in more detail. Device 105 includes a therapy circuit 200 that generates a pacing voltage VEE at node 205. The pacing voltage VEE is stored across a storage capacitor 210 for delivering pacing pulses to heart 110 through a pacing switch 215 and a coupling capacitor 220. In FIG. 2, resistance 225 represents the lead impedance seen by device 105. Resistance 225 includes the impedance of leadwire 115 in series with the impedance of the heart tissue and body fluids between tip electrode 120A and ring electrode 120B. A lead impedance measurement circuit 230 is coupled to receive the pacing voltage VEE at node 205.
FIG. 3 illustrates portions of lead impedance measurement circuit 230 in more detail. In FIG. 3, the pacing voltage VEE is received by a switched-capacitor gain circuit 300 (in this document, "gain" is understood to refer also to attenuation). Gain circuit 300 includes input capacitor 305 and feedback capacitor 310. Switch 307 is turned on at the beginning of a pacing pulse and is turned off after a fixed time period that is shorter than duration of the pacing pulse. Gain circuit 300 provides an output voltage vz at node 315 that is received at the input of analog-to-digital (A/D) converter 320. A/D converter 320 converts the voltage vZ into a digital value nZ, which is provided to a processor 330 for carrying out calculations for obtaining the desired lead impedance, as described below.
FIG. 4 is a signal graph illustrating the magnitude of pacing voltage VEE and the magnitude of output voltage vz of gain circuit 300 as a function of time. At time t0, therapy circuit 200 begins charging node 205 toward the programmed acing voltage VEE,0. At time t1, pacing switch 215 closes, discharging storage capacitor 210 through coupling capacitor 220 and resistance 225. In FIG. 4, the magnitude of the pacing voltage VEE accordingly begins to change, drooping from VEE,0 as storage capacitor 210 is being discharged during delivery of the pacing energy. At time t3, pacing switch 215 opens, and the pacing voltage VEE in FIG. 4 has drooped to VEE,1. After time t3, therapy circuit 200 begins recharging storage capacitor 210 toward the programmed pacing voltage VEE,0. Before time t1, the output voltage vz of gain circuit 300 is held at a reference potential, such as by autozeroing (i.e., closing the feedback loop around) operational amplifier 325. Between time t1 and t2, the output voltage vz tracks the droop of pacing voltage VEE. At time t2, the output voltage vz1 provides to A/D converter 320 a measured indication of the droop of pacing voltage VEE. The A/D converter 320 converts the output voltage vz1 to the digital value nz, from which an indication of the lead impedance can be obtained. After time t3, the output voltage vz of gain circuit 300 is held at a reference potential, such as by autozeroing operational amplifier 325.
FIG. 5 is a flow chart illustrating using system 100 and lead impedance measurement circuit 230 to obtain lead impedance measurements. At step 500,system 100 provides a measurement at node 315 of a voltage droop, Δvz, that is based on the voltage droop of pacing voltage VEE during issuance of a pacing pulse. At step 505, the voltage droop measurement at node 315 is converted to a digital value, Δnz, at the output of A/D converter 320. At step 510, system 100 looks up a scaled resistance, Rs, in a look-up table. At step 515, an interpolated resistance Rsi is calculated based on adjacent values of the scaled resistance Rs in the look-up table. At step 520, a correction factor is applied to the interpolated resistance Rsi to account for manufacturing tolerances, resulting in a corrected lead impedance measurement Rsic.
Equation 1 describes the change in output voltage droop Δvz at node 315 from a particular programmed pacing voltage VEE,0 during the time period that pacing switch 215 is closed. ##EQU1## In Equation 1, C210, C220, C305, and C210 are the capacitance values of storage capacitor 210, coupling capacitor 220, input capacitor 305, and feedback capacitor 310, respectively. R225 is the lead impedance value of resistance. VEE,0 is the programmed pacing voltage. In this document, C=(C210 ·C220)/(C210 +C220). The fixed time difference t2 -t1, over which the voltage droop is monitored, is represented in Equation 1 by the time, t. The resulting change in voltage Δvz is the voltage droop at node 315.
Equation 2 represents the value R225 of lead resistance 225 obtained by solving Equation 1, and making an appropriate substitution for the change in the digital value, Δnz, at the output of A/D converter 320. ##EQU2##
In Equation 2, Kc =C220 /(C210 +C220), and the factor 0.7/256 represents the input voltage range of A/D converter 320 of 0.7 Volts, divided by its quantized resolution, which, in this case, is 256 steps for an 8-bit A/D converter 320. The gain of gain circuit 300 is adjusted, along with the programmed pacing voltage VEE,0 and the duration, t, of the lead impedance measurement (t=t2 -t1), to ensure adequate voltage droop Δvz at node 315 over the range of impedance to be measured (e.g., 100 to 2500 ohms).
Equation 2 requires a natural logarithm function, ln(), which is difficult to perform in a typical microcontroller in an implanted cardiac rhythm management device 105. As a result, while Equation 2 is appropriate for determining the lead impedance value R225 in an external programmer, it is difficult to use Equation 2 within an implanted cardiac rhythm management device 105 to determine the lead impedance value R225. One aspect of the invention avoids using the natural logarithm function, ln(), of Equation 2 by using instead at least one lookup table. A lookup table is easier to implement on processor 330 within implanted cardiac rhythm management device 105 than a natural logarithm function, ln().
Tables 1 and 2 illustrate examples of such look-up tables, which are suitable for implementation on processor 330 within cardiac rhythm management device 105.
TABLE 1______________________________________Lookup Table for Nominal Pacing Conditions(VEE,0 = 3.5 V, t3 - t1 = 0.35 milliseconds), Gain =0.60.Index Δnz (counts) Rs (counts)______________________________________0 (lower) 9 2371 15 1412 27 773 47 434 81 245 130 146 190 97 (upper) 255 11 6______________________________________
TABLE 2______________________________________Lookup Table for Default Lead Impedance Measurement Conditions(VEE,0 = 5.0 V, t3 - t1 = 0.35 milliseconds), Gain =0.45.Index Δnz (counts) RS (counts)j______________________________________0 (lower) 9 2541 16 1422 28 803 50 444 85 255 140 146 190 107 (upper) 245 `7______________________________________
Tables 1 and 2 correlate the digitized voltage droop Δnz output from A/D converter 320 to a scaled resistance, RS, measured in counts, which is an 8-bit representation of R225 (i.e., scaled to 12 ohms per count). The scaled resistances, RS, in Tables 1 and 2 are generated using Equation 2 to obtain an ideal value of R225. Then, these ideal values of R225 are scaled using Equation 3 to obtain the scaled resistances, RS, in Tables 1 and 2. ##EQU3##
In Equation 3, R225 is obtained using Equation 2, Ωq is the scaling factor of 12 ohms per count. The percentage multiplier of 0.96 more closely matches the logarithmic ideal curve of lead impedance to the piecewise linear approximation imposed by the finite and limited number of values (e.g., 8 values) of R225 included each of Tables 1 and 2. The percentage multiplier allows the error of the piecewise linear approximation to be distributed both positive and negative about the ideal lead impedance curve, thereby reducing the absolute error over most of the impedance measurement range to less than approximately +/-5%. The integer function rounds the resulting scaled resistance value, RS, to an 8-bit integer value, as illustrated in Tables 1 and 2.
Because only eight values of are provided in each of Tables 1 and 2, system 100 uses an interpolation technique to obtain scaled resistances RS that correspond to measured values of Δnz falling between the values of Δnz that are listed in Tables 1 and 2. One approach of performing the interpolation is illustrated by Equation 4. ##EQU4##
In Equation 4, Δnz is a measured value that may fall between upper and lower Δnz values listed, and corresponding upper and lower Rs values, listed in Tables 1 and 2. In Equation 4, Δnz1 is the lower table value, Δnzu is the upper table value, Rsu is the upper table value, Rs1 is the lower table value, and Rsi is the resulting interpolated value of the resistance scaled from R225.
In manufacturing a plurality of devices 105, the capacitance values of storage capacitor 210 and coupling capacitor 220, and the switch resistance value of pacing switch 215 may all vary from a particular one of devices 105 to a different one of devices 105 due to the manufacturing variations in these components from their nominal values. Because Equations 1 and 2 used the nominal values of these components, system 100 allows a correction to be made for such manufacturing variations as described below.
First, known resistances values Rz1 =200 Ω and Rz2 =1000 Ω of resistance 225 are measured by system 100 according to the techniques described above, obtaining resulting measured values Δnz1 and Δnz2. ##EQU5##
Equation 5 is similar to Equation 2, except the result Kx is scaled from R225 by a constant factor (i.e., Kx =(C·R225)÷t). Equation 5 results in K1, and K2, corresponding to Δnz1 and Δnz2, respectively. Next, Equation 6 is applied to the values K1 and K2 obtained from Equation 5 to obtain an offset correction factor ΔR. ##EQU6## Then, the offset correction factor ΔR is scaled according to Equation 7, to obtain a scaled offset correction factor ΔRs. ##EQU7## Furthermore, a slope correction factor, SCF, is obtained using Equation 8. ##EQU8## Next, using Equation 9, the slope correction factor, SCF, and the scaled offset correction factor, ΔRs, are applied to the interpolated measured lead resistances Rsi, obtained by system 100 from Equation 4. This results in the corrected measured lead resistance Rsic.
Rsic =integer(Rsi ·SCF-ΔRs) (9)
The corrected measured lead impedance is converted to ohms by multiplying it by the scaling factor Ωq of 12 ohms per count. System 100 provides a measured lead impedance of greater than approximately +/-20% accuracy and 5% precision over a resistance range of 100 Ω to 2500 Ω.
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|US20080154139 *||Dec 20, 2006||Jun 26, 2008||Shuros Allan C||Rate Adaptive Cardiac Pacing Systems and Methods|
|US20140005755 *||Sep 5, 2013||Jan 2, 2014||W. Wolf II Erich||Apparatus and method using near infrared reflectometry to reduce the effect of positional changes during spinal cord stimulation|
|WO2004035134A2 *||Oct 15, 2003||Apr 29, 2004||Cardiac Pacemakers, Inc.||Automatic detection of defibrillation lead|
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|International Classification||A61N1/365, A61N1/08, A61N1/37|
|Cooperative Classification||A61N1/3706, A61N1/36521|
|European Classification||A61N1/37C, A61N1/08|
|Nov 3, 1998||AS||Assignment|
Effective date: 19981030
Owner name: CARDIAC PACEMAKERS, INC, MINNESOTA
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:CITAK, BRAIN;REEL/FRAME:009563/0834