A nonlinear model for calibration of blood glucose noninvasive measurement using near infrared spectroscopy

Infrared Physics and Technology

Volumn 53, Issue 5, 2010, Pages 410-417

  Li, Qing Bo ^a   Li, Li Na ^a   Zhang, Guang Jun ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

Blood glucose noninvasive measurement; Kernel partial least squares; Near infrared spectroscopy; Nonlinear

Indexed keywords

BASIC RESEARCH; BLOOD GLUCOSE; COMPLEX MODEL; GAUSSIAN KERNELS; HIGH QUALITY; HIGH-FREQUENCY NOISE; HUMAN BLOODS; IN-VITRO; IN-VIVO; KERNEL FUNCTION; KERNEL PARAMETER; KERNEL PARTIAL LEAST SQUARES; KERNEL TRICK; MATRIX; NEAR INFRARED; NIR REGIONS; NIR SPECTROSCOPY; NIR SPECTRUM; NON-LINEAR MODEL; NON-LINEAR RELATIONSHIPS; NONINVASIVE MEASUREMENTS; NONLINEAR; NONLINEAR CALIBRATION; NONLINEAR CHARACTERISTICS; NONLINEAR MODELING; OPTICAL ABSORPTION; PHYSIOLOGICAL SOLUTION; PREDICTION ACCURACY; PREDICTOR VARIABLES; UNINFORMATIVE VARIABLE ELIMINATIONS;

BLOOD; CALIBRATION; DATA STRUCTURES; FACE RECOGNITION; FORECASTING; GLUCOSE; INFRARED DEVICES; NEAR INFRARED SPECTROSCOPY; WATER ABSORPTION;

EXPERIMENTS;

EID: 77956338707     PISSN: 13504495     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.infrared.2010.07.012     Document Type: Article

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