US 20050101847 A1
The determination of blood glucose in an individual is carried out by projecting illuminating light into an eye of the individual to illuminate the retina with the light having wavelengths that are absorbed by rhodopsin and with the intensity of the light varying in a prescribed temporal manner. The light reflected from the retina is detected to provide a signal corresponding to the intensity of the detected light, and the detected light signal is analyzed to determine the changes in form from that of the illuminating light. For a biased sinusoidal illumination, these changes can be expressed in terms of harmonic content of the detected light. The changes in form of the detected light are related to the ability of rhodopsin to absorb light and regenerate, which in turn is related to the concentration of blood glucose, allowing a determination of the relative concentration of blood glucose. Other photoreactive analytes can similarly be determined by projecting time varying illuminating light into the eye, detecting the light reflected from the retina, and analyzing the detected light signal to determine changes in form of the signal due to changes in absorptivity of a photoreactive analyte.
29. A method for use in the determination of the blood glucose concentration in an individual, comprising:
(a) Non-invasively measuring the rate of a biochemical process of the body;
(b) Determining the blood glucose concentration from the measured rate.
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41. A method of determining the blood glucose concentration in an individual, comprising:
(a) non-invasively measuring a formation rate of a substance in the individual; and
(b) determining the blood glucose concentration in the individual from the measured formation rate of the substance.
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51. A method for determining the blood glucose concentration of an individual, comprising:
(a) measuring a formation rate of visual pigment in an eye of the individual; and
(b) determining the blood glucose concentration of the individual from the measured formation rate of visual pigment.
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66. A method for determining the blood glucose concentration of an individual, comprising:
(a) Initiating a photodynamic process in the eye of a person;
(b) Measuring the glucose use rate of the photodynamic process; and
(c) Determining the blood glucose concentration of the person from the measured glucose use rate.
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79. An apparatus for glucose measurements, comprising:
(a) An illuminating optics system adapted to provide illuminating light into the eye at a wavelength selected to initiate a photodynamic process in the eye;
(b) An optical detector configured to receive illuminating light reflected from the eye and output optical data relating to the photodynamic process; and
(c) An optical data analysis system configured to process the optical data to calculate the blood glucose level.
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(a) data storage comprising patient calibration data.
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101. A method of determining the blood glucose concentration in an individual, comprising:
(a) non-invasively measuring a rate of depletion of a substance in the individual; and
(b) determining the blood glucose concentration in the individual from the measured depletion rate of the substance.
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108. A method of measuring the blood glucose concentration in a person, comprising:
(a) Providing an apparatus according to
(b) Deactivating the apparatus after the apparatus has processed optical data to calculate the blood glucose level a number of times; and
(c) Reactivating the apparatus by a health care provider.
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(d) Updating the patient calibration data in the data storage.
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114. A method for use in the determination of the blood glucose concentration in an individual, comprising:
(a) Measuring an indicium of glucose metabolism;
(b) Determining the blood glucose concentration from the measured indicium.
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This application is a continuation of prior application Ser. No. 10/012,902, filed Oct. 22, 2001, which claimed priority from provisional application No. 60/318,850, filed Sep. 13, 2001, which are incorporated herein by reference.
This invention pertains to the field of non-invasive in vivo measurement of blood analytes.
The measurement of blood glucose by diabetic patients has traditionally required the drawing of a blood sample for in vitro analysis. The blood sampling is usually done by the patient himself as a finger puncture, or in the case of a child, by an adult. The need to draw blood for analysis is undesirable for a number of reasons, including discomfort to the patient, resulting in many patients not testing their blood as frequently as recommended, the high cost of glucose testing supplies, and the risk of infection with repeated skin punctures.
Many of the estimated three million Type 1 juvenile) diabetics in the United States are asked to test their blood glucose six times or more per day in order to adjust their insulin doses for tighter control of their blood glucose. As a result of the discomfort, many of these patients do not test as often as is recommended by their physician, with the consequence of poor blood glucose control. This poor control has been shown to result in increased complications from this disease. Among these complications are blindness, heart disease, kidney disease, ischemic limb disease, and stroke. In addition, there is recent evidence that Type 2 (adult-onset) diabetics (numbering over 10 million in the United States) may reduce the incidence of diabetes-related complications by more tightly controlling their blood glucose. Accordingly, these patients may be asked to test their blood glucose as often as the Type 1 diabetic patients.
It would thus be desirable to obtain fast and reliable measurements of the blood glucose concentration through simple, non-invasive testing. Prior efforts have been unsuccessful in the quest for a sufficiently accurate, non-invasive blood glucose measurement. These attempts have involved the passage of light waves through solid tissues such as the fingertip and the ear lobe and subsequent measurement of the absorption spectra. These efforts have been largely unsuccessful primarily due to the variability of absorption and scatter of the electromagnetic energy in the tissues. Other groups have attempted blood glucose measurement in body fluids such as the anterior chamber, tears, and interstitial fluids. To date, these efforts have not been successful for a variety of reasons.
The present invention combines the accuracy of in vitro laboratory testing of analytes such as blood glucose with the advantages of a rapidly-repeatable non-invasive technology. The invention utilizes a hand-held instrument that allows non-invasive determination of glucose by measurement of the regeneration rate of rhodopsin, the retinal visual pigment, following a light stimulus. The rate of regeneration of rhodopsin is dependent upon the blood glucose concentration, and by measuring the regeneration rate of rhodopsin, blood glucose can be accurately determined. This invention exposes the retina to light of selected wavelengths in selected distributions and subsequently analyzes the reflection from the exposed region.
The rods and cones of the retina are arranged in specific locations in the back of the eye, an anatomical arrangement used in the present invention. The cones, which provide central and color vision, are located with their greatest density in the area of the fovea centralis in the retina. The fovea covers a circular area with a diameter of about 1.5 mm, with a subtended angle of about 3 degrees. The rods are found in the more peripheral portions of the retina and contribute to dim vision.
The light source in the invention that is used to generate the illuminating light is directed on the cones by having the subject look at the light. This naturally provides for the incident light striking the area of the retina where the cones (with their particular rhodopsin) are located. The incoming light preferably subtends an angle much greater than the angle required to include the area of the fovea centralis, so that the entire reflected signal includes the area of high cone density.
The invention uses light that varies in a selected temporal manner, such as a periodically applied stimulus of light (for example, a sinusoidal pattern), and then analyzes the reflected light from the retina to determine the distortion of the detected light relative to the illuminating light. The excitation format chosen allows removal of the light signal due to passive reflection. For example, the primary frequency of an applied sinusoidal stimulus can be filtered out of the light received back from the eye, leaving higher order harmonics of the fundamental as the input into the analysis system (for example, a neural network). Measurement of unknown blood glucose concentration is accomplished by development of a relationship between these input data and corresponding clinically determined blood glucose concentration values.
Similarly, this technique can be utilized in the analysis of photoreactive analytes such as bilirubin. Bilirubin is a molecule that is elevated in a significant number of infants, causing newborn jaundice. It would be desirable to non-invasively measure bilirubin, as this is currently done with invasive blood testing. This molecule absorbs light at 470 nm and exhibits a similar photo-decomposition to rhodopsin, but without regeneration. In a manner similar to that described above for rhodopsin measurement, bilirubin may be measured utilizing a time-varying light signal and analyzing the corresponding reflected light signals for non-passive responses due to photo-decomposition. More generally, an analysis—model-based or statistical—of descriptors (amplitude, polarization, transient or harmonic content) of incident and detected light can be carried out to determine a variation in the detected signal resulting from light-induced changes in the physical or chemical interaction of a photoreactive analyte with the illuminating light.
In accordance with the invention, a hand-held or stationary instrument that measures the resulting data in the reflected light from a periodically applied light stimulus (for example, a sinusoid) may be utilized for the determination of blood glucose values. There may be patient-to-patient variability and each device may be calibrated for each patient on a regular interval. This may be necessary as the changing state of each patient's diabetes affects the outer segment metabolism and thus influences the regeneration rates of rhodopsin. The intermittent calibration of the device is useful in patient care as it facilitates the diabetic patient returning to the health-care provider for follow-up of their disease. The device may be equipped with a method of limiting the number of tests, so that follow-up will be required to reactivate the device.
In the present invention, the reflected light data may be sent to a central computer by a communications link in either a wireless or wired manner for central processing of the data. The result may then be sent back to the device for display or be retained to provide a historical record of the individual's blood glucose levels.
Further objects, features, and advantages of the invention will be apparent from the following detailed description when taken in conjunction with the accompanying drawings.
In the drawings:
Rhodopsin is the visual pigment contained in the rods and cones of the retina. As this pigment absorbs light, it breaks down into intermediate molecular forms and initiates a signal that proceeds down a tract of nerve tissue to the brain, allowing for the sensation of sight. The outer segments of the rods and cones contain large amounts of rhodopsin, stacked in layers lying perpendicular to the light incoming through the pupil. There are two types of rhodopsin, with a slight difference between the rhodopsin in the rods (that allow for dim vision) and the rhodopsin in the cones (that allow for central and color vision). Rod rhodopsin absorbs light energy in a broad band centered at 500 nm, whereas there are three different cone rhodopsins having broad overlapping absorption bands peaking at 430, 550, and 585 nm.
Rhodopsin consists of 11-cis-retinal and the protein opsin, which is tightly bound in either the outer segment of the cones or rods. 11-cis-retinal is the photoreactive portion of rhodopsin, which is converted to all-trans-retinal when a photon of light in the active absorption band strikes the molecule. This process goes through a sequence of chemical reactions as 11-cis-retinal isomerizes to all-trans-retinal. During this series of chemical steps, the nerve fiber, which is attached to that particular rod or cone, undergoes a stimulus that is perceived in the brain as a visual signal.
Following the breakdown of 11-cis-retinal to all-trans-retinal, the 11-cis-retinal is regenerated by a series of steps that result in 11-cis-retinal being recombined with opsin protein in the cell or disk membrane. A critical step in this regeneration pathway is the reduction of all-trans-retinal to all-trans-retinol, which requires NADPH as the direct reduction energy source. In a series of experiments, Futterman et al have proven that glucose, via the pentose phosphate shunt (PPS), provides virtually all of the energy required to generate the NADPH needed for this critical reaction. S. Futterman, et al., “Metabolism of Glucose and Reduction of Retinaldehyde Retinal Receptors,” J. Neurochemistry, 1970, 17, pp. 149-156. Without glucose or its immediate metabolites, no NADPH is formed and rhodopsin cannot regenerate.
There is strong evidence that glucose is a very important energy substrate for the integrity and function of the retinal outer segments. It has been known since the 1960s that glucose and glycolysis (the metabolism of glucose) are important in maintaining the structure and function of the retinal outer segments. More recently, it has been discovered that one of the major proteins contained in the retinal outer segments is glyceraldehyde-3-phosphate dehydrogenase, an important enzyme in glucose metabolism. This points to the importance of glucose as the energy source for the metabolism in the retinal outer segments, which has as its primary function the maintenance of high concentrations of rhodopsin.
In addition, Ostroy, et al. have proven that the extracellular glucose concentration has a major effect on rhodopsin regeneration. S. E. Ostroy, et al., “Extracellular Glucose Dependence of Rhodopsin Regeneration in the Excised Mouse Eye,” Exp. Eye Research, 1992, 55, pp. 419-423. Since glucose is the primary energy driver for rhodopsin regeneration, the present invention utilizes this principle to measure extracellular glucose concentrations.
Furthermore, recent laboratory work by Ostroy et al has shown that the retinal outer segments become acidic with chronic elevated blood glucose concentrations. S. E. Ostroy, et al., “Decreased Rhodopsin Regeneration in Diabetic Mouse Eyes,” Invest. Ophth. and Visual Science, 1994, 35, pp. 3905-3909; S. E. Ostroy, et al., “Altered Rhodopsin Regeneration in Diabetic Mice Caused by Acid Conditions Within Rod Receptors,” Current Eye Research, 1998, 17, pp. 979-985. Work in McConnell's laboratory has characterized the retinal outer segments with these diabetic pH changes. It has been noted that with increasing acidity of the retinal outer segments, there exist pronounced changes in the light scattering by the cells. These experiments reveal that as blood glucose increases intracellular pH decreases. These changes affect the absorption spectra and the light scattering properties of these cells and are directly determined by intracellular glucose concentration. This scattering effect is measured with the present invention and adds an additional variable in the reflection of light, driven by the glucose concentration, providing for even further accuracy with this invention.
The following is an analysis of the photodynamic reactions associated with the present invention:
Recognizing that there are other photodynamic reactions involved, a simple and conceptually accurate representation of the rhodopsin cycle is given by the following equations:
An auxiliary equation links the observed reflectance, RF, of the foveal region to R0. Let RF min be the reflectance under the filly bleached conditions and RF max be the reflections when unbleached. Then the foveal reflectance is approximately:
The RF min value is reflectance of the pigment epithelium, which is a dark layer of tissue directly underneath the rods and cones. RF max is determined by the optical characteristics of the absorption process. Rdark and k4 can be determined from historical measurement data. The point is that foveal reflectance varies in a predictable way with R0 and hence with L and G. This variation is exploited in the present invention to remove noise during analysis of reflected light; if the fovea is exposed to sinusoidally varying amplitude of light, then, because of the above noted variation of reflectance, the reflected light will contain harmonics of the frequency of variation of the incident light for the foveal reflections which vary with bleaching. All the passively reflected light will have amplitude varying at the frequency of the incident light.
Since the harmonics of the incident light frequency contain the needed information about R0, the fundamental frequency can be removed by data filtering techniques. This restricts analyzed data to light reflected from the active foveal cells, greatly improving signal to noise ratios.
The data gathering and analysis process illuminates the posterior retina with light capable of bleaching rhodopsin and varies the light amplitude, preferably sinusoidally, at an appropriate rate or frequency (or multiple rates). Light reflected in part from the anterior retina is then examined for intensity/amplitude at 2,3,4, etc. times the frequency of variation of the incident light. The estimated amplitudes of the harmonics are closely related to the bleaching process, which is known to depend upon cellular glucose concentrations as discussed above. Harmonic amplitudes can be related to measured glucose concentrations with a number of regression techniques or by the use of artificial neural network methods.
A simple example of this idea is the following:
Assume that foveal reflectance RF is linearly related to incident light amplitude L: L=A sin 2πft, and RF=BL=AB sin 2πft
Then, RFL=A2B sin22πft=A2B(1/2−1/2 cos 4πft)
The reflected light is thus seen to be a constant amplitude component and a component varying with twice the incident frequency.
With reference to the drawings,
The illuminating light from the illumination and optics system 15 includes a time varying (modulated) light amplitude (preferably sinusoidal) added to (constant) amplitude of at least half of the sinusoidal peak to peak value, as illustrated in
The illuminating light reflected from the fundus of the eye 10 passes out through the pupil opening of the eye to the illumination and optics system 15, entering a (preferably) single element photodetector 16, as illustrated in
The data in the reflected primary frequency of light (containing noise including optical system and eye reflections) is preferably not used. Only harmonics of the primary frequency are preferably utilized as data input to a processor that carries out a calculation of the blood glucose concentration. There are various methods to eliminate the primary frequency of light including passive filtering, phase lock loop, and many digital processing techniques. Alternatively, a signal analysis such as a fast Fourier transform can be performed and subsequently only the higher harmonics may be used as data input. An additional variable, associated with the light scattering effect of chronically high glucose concentrations on the outer segments of the retina, affects the reflected light data and can be accounted for in the processing of the data.
The optical reflectance measurements may then be correlated with blood glucose concentration measurements. Fast Fourier Transforms (FFT) of the harmonic content data along with patient calibration data from a data storage 18 may, for example, be utilized in a neural network simulation carried out by computer. Exemplary neural network and FFT analysis tools that may be used in one embodiment of the invention are contained in the MATLAB™ language and in the Neural Network Toolbox of MATLAB™ version 12.1. The neural network iteratively generates weights and biases which optimally represent, for the network structure used, the relationship between computed parameters of the detected light signal and blood glucose values determined by the usual methods. The desired relationship may be amenable, alternatively, to development as a look-up table, regression model, or other algorithm carried out in the optical data analysis system 17, e.g., a special purpose computer or an appropriately programmed personal computer, work station, etc.
The relationship between the optical measurements made using the apparatus of the invention and measurement made on blood samples taken from the individual patient may change over a period of time. The patient calibration data in the data storage 18 may be combined with an algorithm carried out in the optical data analysis system 17 to predict the specific patient's blood glucose concentration, and the calibration data may be periodically updated. The health-care provider may perform periodic calibration of the apparatus at certain intervals, preferably every three months.
The results of the calculated blood glucose concentration from the optical data analysis system 17 are provided to an output system 19 for storage, display or communication. A readout of the glucose concentration history from a data history storage 20 may be obtained by the health care provider at convenient intervals. The blood glucose concentration may be directed from the output system 19 to a display 21 to provide for patient observation. This display 21 will be preferably by an LCD screen located on the device as depicted as 21 in
An alternative to the above-described embodiment of the optical system includes a conventional lens system which is used to direct the illumination light to the pupil and the returned reflected light from the retina may be transported on this conventional lens system (a common path). The reflected light may then be directed to the photodetector by the use of a beamsplitter.
Another embodiment of the optical system 15 is shown in
An illustration of a hand-held device embodying the invention is shown in
The analysis of the reflected signal may take place at a location remote from the clinical setting by using a wired or wireless internet link (or dedicated communication link) to transfer data from the photodetector to a central computer at a remote location (e.g., anywhere in the world linked by the internet) where the optical data analysis system 17 (see
The illumination and optics systems of
In the illumination and optics system of
It is understood that the invention is not confined to the particular embodiments set forth herein for illustration, but embraces all such forms thereof as come within the scope of the following claims.