Noninvasively measuring analyte levels in a subject
First Claim
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1. A physiological monitoring system for determining a glucose level using an optical sensor, the system comprising:
- a non-invasive reflective optical sensor configured to provide light to biological tissue and receive reflected light from the biological tissue, wherein the light comprises two or more wavelengths selected to differentiate glucose from another biological constituent based on scattering properties of the light at the two or more wavelengths; and
a physiological monitor comprising at least one processor, the physiological monitor configured to;
determine first light scatter measurements based on reflected light at a first wavelength received by the non-invasive reflective optical sensor from the biological tissue using Optical Coherence Tomography, wherein the first light scatter measurements include measurements at a plurality of depths in the biological tissue;
determine second light scatter measurements based on reflected light at a second wavelength received by the non-invasive reflective optical sensor from the biological tissue using Optical Coherence Tomography, wherein the second light scatter measurements include measurements at the plurality of depths in the biological tissue;
subtract the first light scatter measurements from the second light scatter measurements to determine a differential data curve including differences between the first and second light scatter measurements at the plurality of depths;
analyze the differential data curve to identify one or more peak data points;
based on the one or more peak data points, identify an interval of the differential data curve indicative of glucose, wherein the interval of the differential data curve corresponds to an interval in the plurality of depths; and
process a portion of the at least one of the first or second light scatter measurements that corresponds to the interval of the differential data curve to determine the glucose level of the biological tissue.
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Abstract
A method for noninvasively measuring analyte levels includes using a non-imaging OCT-based system to scan a two-dimensional area of biological tissue and gather data continuously during the scanning. Structures within the tissue where measured-analyte-induced changes to the OCT data dominate over changes induced by other analytes are identified by focusing on highly localized regions of the data curve produced from the OCT scan which correspond to discontinuities in the OCT data curve. The data from these localized regions then can be related to measured analyte levels.
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21 Claims
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1. A physiological monitoring system for determining a glucose level using an optical sensor, the system comprising:
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a non-invasive reflective optical sensor configured to provide light to biological tissue and receive reflected light from the biological tissue, wherein the light comprises two or more wavelengths selected to differentiate glucose from another biological constituent based on scattering properties of the light at the two or more wavelengths; and a physiological monitor comprising at least one processor, the physiological monitor configured to; determine first light scatter measurements based on reflected light at a first wavelength received by the non-invasive reflective optical sensor from the biological tissue using Optical Coherence Tomography, wherein the first light scatter measurements include measurements at a plurality of depths in the biological tissue; determine second light scatter measurements based on reflected light at a second wavelength received by the non-invasive reflective optical sensor from the biological tissue using Optical Coherence Tomography, wherein the second light scatter measurements include measurements at the plurality of depths in the biological tissue; subtract the first light scatter measurements from the second light scatter measurements to determine a differential data curve including differences between the first and second light scatter measurements at the plurality of depths; analyze the differential data curve to identify one or more peak data points; based on the one or more peak data points, identify an interval of the differential data curve indicative of glucose, wherein the interval of the differential data curve corresponds to an interval in the plurality of depths; and process a portion of the at least one of the first or second light scatter measurements that corresponds to the interval of the differential data curve to determine the glucose level of the biological tissue. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method of measuring glucose concentration within biological tissue, the method comprising:
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generating a beam of light, the beam comprising two or more wavelengths selected to differentiate glucose from another biological constituent based on scattering properties of the beam; and illuminating biological tissue with the beam; determining first light scatter measurements based at least partly on light from the beam at a first wavelength reflected by the illuminated biological tissue using Optical Coherence Tomography, wherein the first light scatter measurements include measurements at a plurality of depths in the biological tissue; determining second light scatter measurements based at least partly on light from the beam at a second wavelength reflected by the illuminated biological tissue using Optical Coherence Tomography, wherein the second light scatter measurements include measurements at the plurality of depths in the biological tissue; subtracting the first light scatter measurements from the second light scatter measurements to determine a differential data curve including differences between the first and second light scatter measurements at the plurality of depths; analyzing the differential data curve to identify one or more peak data points; based on the one or more peak data points, identifying an interval of the differential data curve indicative of glucose, wherein the interval of the differential data curve corresponds to an interval in the plurality of depths; and processing a portion of the at least one of the first or second light scatter measurements that corresponds to the interval of the differential data curve to determine a glucose level of the biological tissue. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21)
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Specification