Method and system for non-invasive optical blood glucose detection utilizing spectral data analysis
AssigneeSt. Louis Medical Devices, Inc.
InventorZhi Xu
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AssigneeSt. Louis Medical Devices, Inc.
InventorZhi Xu
Estimating the term…
Systems and methods are disclosed for non-invasively measuring blood glucose levels in a biological sample based on spectral data. This includes at least one light source configured to strike a target area of a sample, at least one light detector positioned to receive light from the at least one light source and to generate an output signal, having a time dependent current, which is indicative of the power of light detected, a processor configured to receive the output signal from the at least one light detector based on the received output signal, calculate the attenuance attributable to blood in a sample present in the target area with a ratio factor, eliminate effect of uncertainty caused by temperature dependent detector response of the at least one light detector, and then determine a blood glucose level associated with a sample present in the target area based on the calculated attenuance with the processor.
1-6. (canceled)
A system for detecting glucose in a biological sample, comprising:
(canceled)
A system for detecting glucose in a biological sample comprising:
A system for detecting glucose in a biological sample, wherein the system comprises a processor configured to determine a change in a light absorption caused by blood in the biological sample, determine an attenuance attributable to blood in a sample present in a target area with either a normalization factor or a ratio factor, eliminate effect of uncertainty caused by temperature dependent detector response of a photocurrent signal generating light detector by calculating a standard deviation of a logarithm of a time dependent output current, and determine a blood glucose level associated with the sample present in the target area based on the determined attenuance, wherein the device is configured to calculate the normalization factor Qi(C,T) based on the preamplifier output voltage Vi(t) of an ith preamplifier as a function of time, where σ is standard deviation according to the equation:
Dependencies are inferred from the claim text.