Blood glucose estimation using near infrared light emitting diodes
Inventors
Matichuk, Bruce • Moore, Mike E.
Assignees
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Publication Number
US-12478258-B2
Publication Date
2025-11-25
Expiration Date
Abstract
Near Infrared Spectroscopy is employed to non-invasively detect blood glucose concentrations, in a multi-sensing detection device. A multi-layered artificial neural network is used to assess these relationships of non-linear interference from human tissue, as well as differences among individuals, and accurately estimate blood glucose levels. Diffuse reflectance spectrum from the palm at six different wavelengths analyzed with a neural network, results in a correlation coefficient as high as 0.9216 when compared to a standard electrochemical glucose analysis test.
Core Innovation
The invention is a continuous non-invasive sensor system having a multi-sensing detection device for employing spectral related skin response data for determining a light signature, from which a concentration of glucose present in tissue of a body of a wearer may be determined. The multi-sensing detection device is configured to be positioned proximate the skin and includes a glucose sensor unit for detecting glucose within the wearer's tissue by detecting a characteristic skin response due to the presence of glucose. The glucose sensor unit comprises a housing with a top cover and a bottom cover that encases the sensor unit and positions sensor arrays proximate the user's tissue.
The glucose sensor unit uses a printed circuit board having first and second sensor arrays coupled with photoemitters and photoreceivers. The first sensor array includes six photoemitters formed of six light emitting diodes configured to emit six wavelengths so that emitted light penetrates a determined depth within the tissue, and a first photoreceiver is configured to detect light reflected back from the body's tissues. The second sensor array includes additional photoemitters and a second photoreceiver to detect reflected light, with the light emitting diodes collectively directing emitted light of their respective wavelengths into the tissue so the photoreceivers generate return signals.
The printed circuit board further comprises an analog to digital converter coupled to the photoreceivers for converting the return signal to digital signal data, and a communications module for transmitting the digital signal data. A server system receives the digital signal data and includes a first processing module with a first processor for analyzing the digital signal data to produce light signature data, and a second processor for analyzing the light signature data to determine the concentration of glucose present in the tissue.
Claims Coverage
Two independent claims are identified: clm-00001 and clm-00015. Each independent claim centers on continuous non-invasive analyte sensing in skin tissue from spectral or diffuse reflectance skin response data via photoemitter and photoreceiver arrays and digital signal processing by a server, with additional structure and configuration details in each claim.
Continuous non-invasive sensor for glucose via light signature
A continuous non-invasive sensor system having a multi-sensing detection device for employing spectral related skin response data for determining a light signature from which a concentration of glucose present in tissue of a wearer may be determined. The system includes a glucose sensor unit configured to detect glucose by detecting a characteristic skin response due to the presence of glucose, using a multi-wavelength photoemitter and photoreceiver arrangement positioned proximate the skin, converting collected reflected-light return signals to digital signal data, transmitting the data to a server system, and producing light signature data that is further analyzed to determine glucose concentration.
Diffuse reflectance spectrum analysis via light signature on an attached device
A continuous non-invasive sensor system employing diffuse reflectance spectrum analysis for determining a skin response from which a concentration of an analyte in skin tissue may be determined, where the system includes an attachment structure with an adhesive to hold the sensor against the wearer's skin. The multi-sensing detection device includes an analyte sensor unit with a housing having a transparent portion, a printed circuit board with first and second sensor arrays of photoemitters and photoreceivers positioned proximate to the transparent portion and tissue, an analog-to-digital converter converting return signals to digital signal data, a communications module transmitting the data, and a control unit generating activation of the photoemitters so each photoemitter may be activated individually or collectively in one or more predetermined wavelength, frequency, intensity, and duration.
The independent claims cover continuous non-invasive analyte sensing in skin tissue using spectral or diffuse reflectance skin response data gathered by multi-wavelength photoemitters and photoreceivers, with analog-to-digital conversion and communications to a processing system that produces light signature data and determines analyte concentration. Claim clm-00015 further narrows the system to an attachment structure with adhesive and a transparent housing portion, and constrains photoemitter activation by predetermined wavelength, frequency, intensity, and duration.
Stated Advantages
Continuous determination of glucose concentration in tissue using a non-invasive sensor system.
Determination of glucose concentration based on spectral related skin response data and a light signature from reflected light.
Server-based processing of digital signal data to produce light signature data and thereby determine analyte concentration.
Documented Applications
Wearable glucose monitoring implemented as a continuous non-invasive sensor system, including example wearable implementations such as a watch, wristband, and patch.
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