Method for data reduction and calibration of an OCT-based blood glucose monitor
First Claim
1. A noninvasive method of determining estimated blood glucose levels in a biological tissue of a subject using an optical coherence tomography-based blood glucose monitor comprising a sensor and at least one algorithm, the method comprising the steps:
- (a) selecting a wavelength of light for which μ
s, an absorption coefficient of the biological tissue, is small relative to μ
s, a scattering efficient of the tissue for the selected wavelength of light;
(b) continuously scanning a two-dimensional surface area of the biological tissue and interferometrically scanning the two-dimensional surface area of the biological tissue in a depth dimension with the light during a time period;
(c) averaging the data obtained by interferometrically scanning the two-dimensional surface area of the biological tissue in a depth dimension with the light to generate a multitude of optical coherence tomography scan data lines in the time period, wherein the x-axis of each optical coherence tomography scan data line is depth and the y-axis of each optical coherence tomography scan data lines is intensity;
(d) calibrating the optical coherence tomography-based sensor against at least two invasively obtained blood glucose measurements taken during the time period; and
(e) allowing the calibrated optical coherence tomography-based sensor and the at least one algorithm to determine an estimated blood glucose level in the biological tissue.
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Abstract
The present invention relates to a method for estimating blood glucose levels using a noninvasive optical coherence tomography- (OCT-) based blood glucose monitor. An algorithm correlates OCT-based estimated blood glucose data with actual blood glucose data determined by invasive methods. OCT-based data is fit to the obtained blood glucose measurements to achieve the best correlation. Once the algorithm has generated sets of estimated blood glucose levels, it may refine the number of sets by applying one or more mathematical filters. The OCT-based blood glucose monitor is calibrated using an Intensity Difference plot or the Pearson Product Moment Correlation method.
144 Citations
57 Claims
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1. A noninvasive method of determining estimated blood glucose levels in a biological tissue of a subject using an optical coherence tomography-based blood glucose monitor comprising a sensor and at least one algorithm, the method comprising the steps:
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(a) selecting a wavelength of light for which μ
s, an absorption coefficient of the biological tissue, is small relative to μ
s, a scattering efficient of the tissue for the selected wavelength of light;
(b) continuously scanning a two-dimensional surface area of the biological tissue and interferometrically scanning the two-dimensional surface area of the biological tissue in a depth dimension with the light during a time period;
(c) averaging the data obtained by interferometrically scanning the two-dimensional surface area of the biological tissue in a depth dimension with the light to generate a multitude of optical coherence tomography scan data lines in the time period, wherein the x-axis of each optical coherence tomography scan data line is depth and the y-axis of each optical coherence tomography scan data lines is intensity;
(d) calibrating the optical coherence tomography-based sensor against at least two invasively obtained blood glucose measurements taken during the time period; and
(e) allowing the calibrated optical coherence tomography-based sensor and the at least one algorithm to determine an estimated blood glucose level in the biological tissue. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29)
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30. A noninvasive method of providing an estimated blood glucose level to a subject in need thereof, the method comprising the steps of:
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(a) identifying a subject in need thereof;
(b) calibrating an optical coherence tomography blood glucose monitor comprising a sensor and at least one algorithm against at least two invasively obtained blood glucose measurements taken during a time period;
(c) identifying a biological tissue of the subject to be scanned by the calibrated optical coherence tomography blood glucose monitor;
(d) continuously scanning a two-dimensional surface area of the biological tissue and interferometrically scanning the two-dimensional surface area of the biological tissue in a depth dimension with the light during the time period;
(e) averaging the data obtained by interferometrically scanning the two-dimensional surface area of the biological tissue in a depth dimension with the light to generate a multitude of optical coherence tomography scan data lines in the time period, wherein the x-axis of each optical coherence tomography scan data line is depth and the y-axis of each optical coherence tomography scan data lines is intensity;
(f) allowing the at least one algorithm to determining the estimated blood glucose level in the biological tissue from the multitude of optical coherence tomography scan data lines. - View Dependent Claims (31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57)
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Specification