Mekonnen et al., 2020 - Google Patents

Accurate prediction of glucose concentration and identification of major contributing features from hardly distinguishable near-infrared spectroscopy

Mekonnen et al., 2020

Document ID: 13301102432677542395
Author: Mekonnen B; Yang W; Hsieh T; Liaw S; Yang F
Publication year: 2020
Publication venue: Biomedical Signal Processing and Control

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In this study, we tackle the accurate prediction of glucose aqueous concentration from hardly distinguishable near-infrared (NIR) spectroscopy. We adopted several machine learning approaches for the spectral analyses and identified important features learned by each …

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Publication	Publication Date	Title
Mekonnen et al.	2020	Accurate prediction of glucose concentration and identification of major contributing features from hardly distinguishable near-infrared spectroscopy
Delbeck et al.	2019	Non-invasive monitoring of blood glucose using optical methods for skin spectroscopy—Opportunities and recent advances
Yamakoshi et al.	2006	Pulse glucometry: a new approach for noninvasive blood glucose measurement using instantaneous differential near-infrared spectrophotometry
Currà et al.	2019	Near-infrared spectroscopy as a tool for in vivo analysis of human muscles
US5553616A (en)	1996-09-10	Determination of concentrations of biological substances using raman spectroscopy and artificial neural network discriminator
Gabriely et al.	1999	Transcutaneous glucose measurement using near-infrared spectroscopy during hypoglycemia.
EP1250082B1 (en)	2007-08-08	Classification and characterization of tissue through features related to adipose tissue
US7460895B2 (en)	2008-12-02	Method for generating a net analyte signal calibration model and uses thereof
US7330746B2 (en)	2008-02-12	Non-invasive biochemical analysis
US7725144B2 (en)	2010-05-25	Determination of disease state using raman spectroscopy of tissue
US6721583B1 (en)	2004-04-13	Method for non-invasive identification of individuals at risk for diabetes
US20200155042A1 (en)	2020-05-21	Method and system for non-invasive blood glucose measurement using signal change of the non-glucose components induced by the presence of glucose
JP2006126219A (en)	2006-05-18	Method and apparatus for multi-spectral analysis in noninvasive infrared spectroscopy
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US20210059582A1 (en)	2021-03-04	Non-Invasive Glucose Monitoring by Raman Spectroscopy
US8406839B2 (en)	2013-03-26	Method and apparatus for determining blood analytes
Liu et al.	2025	In vivo Raman spectroscopy for non-invasive transcutaneous glucose monitoring on animal models and human subjects
Habibullah et al.	2019	NIR-spectroscopic classification of blood glucose level using machine learning approach
WO1997036540A1 (en)	1997-10-09	Determination of concentrations of biological substances using raman spectroscopy and artificial neural network discriminator
Castro-Pimentel et al.	2023	Three-wavelength PPG and support vector machine for non-invasive estimation of blood glucose
Liu et al.	2005	Next step of non-invasive glucose monitor by NIR technique from the well controlled measuring condition and results
Uwadaira et al.	2010	Factors affecting the accuracy of non-invasive blood glucose measurement by short-wavelength near infrared spectroscopy in the determination of the glycaemic index of foods
US20060063991A1 (en)	2006-03-23	Method and apparatus for non-invasive measurement of blood analytes with dynamic spectral calibration
Céelleri et al.	2023	Non-invasive blood sugar measurement system
Yamakoshi et al.	2009	Multivariate regression and classification models for estimation of blood glucose levels using a new non-invasive optical measurement technique named “Pulse-Glucometry”

Mekonnen et al., 2020 - Google Patents

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