METHOD AND SYSTEM FOR NON-INVASIVE OPTICAL BLOOD GLUCOSE DETECTION UTILIZING SPECTRAL DATA ANALYSIS

摘要

Systems and methods are disclosed for non-invasively measuring blood glucose levels in a biological sample based on spectral data. This includes utilizing at least one light source configured to strike a target area of a sample, utilizing at least one light filter positioned to receive light transmitted through the target area from the at least one light source, utilizing at least one light detector positioned to receive light from the at least one light source and filtered by the at least one light filter, and to generate an output signal, having a time dependent current, which is indicative of the power of light detected, receiving the output signal from the at least one light detector with a processor and based on the received output signal, calculating the attenuance attributable to blood in a sample with a signal-to-noise ratio of at least 20-to-1; and determining a blood glucose level.

主权项

1. A system for detecting glucose in a biological sample, comprising:
at least one light source configured to generate one or more light beams and to strike a target area of a biological sample; at least one light filter positioned to receive light transmitted through the target area of the sample from the at least one light source; at least one photocurrent signal generating light detector positioned to receive light from the at least one light source and filtered by the at least one light filter, and to generate an output photocurrent signal, having a time dependent output current, which is indicative of the power of light detected; and a processor programmed to calculate a change in a light absorption caused by blood in the biological sample and configured to receive the output photocurrent signal from the at least one photocurrent signal generating light detector and based on the received output photocurrent signal, calculate the attenuance attributable to blood in a sample present in the target area with a signal-to-noise ratio of at least 20-to-1, and based on the calculated attenuance, determine a blood glucose level associated with a sample present in the target area.