Determination of glucose concentrations in an aqueous matrix from NIR spectra using optimal time-domain filtering and partial least-squares regression

IEEE Transactions on Biomedical Engineering

Volumn 44, Issue 6, 1997, Pages 475-485

  Ham, Fredric M ^a,b   Kostanic, Ivica N ^b   Cohen, Glenn M ^c   Gooch, Brent R ^d  

^a IEEE   (United States)

^b FLORIDA INSTITUTE OF TECHNOLOGY   (United States)

^c Florida Institute of Technology   (United States)

^d Holmes Regional Medical Center   (United States)

Author keywords

Diabetes mellitus; glucose; near infrared; noninvasive monitoring; optical filtering; partial least squares

Indexed keywords

DIABETES MELLITUS; OPTICAL FILTERING; OPTICAL SIGNAL PROCESSING; PARTIAL LEAST SQUARES;

BANDPASS FILTERS; DIGITAL FILTERS; GLUCOSE; INFRARED SPECTROSCOPY; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; OPTIMIZATION; REGRESSION ANALYSIS; SIGNAL FILTERING AND PREDICTION; SPECTROPHOTOMETRY; TIME DOMAIN ANALYSIS;

NONINVASIVE MEDICAL PROCEDURES;

GLUCOSE; WATER;

AQUEOUS SOLUTION; ARTICLE; CALCULATION; CONTROLLED STUDY; DIABETES MELLITUS; FILTER; GLUCOSE ASSAY; INFRARED SPECTROPHOTOMETRY;

BLOOD GLUCOSE SELF-MONITORING; CALIBRATION; FOURIER ANALYSIS; GLUCOSE; LEAST-SQUARES ANALYSIS; MODELS, BIOLOGICAL; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOLUTIONS; SPECTROPHOTOMETRY, INFRARED; WATER;

EID: 0031172752     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/10.581938     Document Type: Article

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