Improved CEEMDAN and PSO-SVR Modeling for Near-Infrared Noninvasive Glucose Detection

Computational and Mathematical Methods in Medicine

Volumn 2016, Issue , 2016, Pages

  Li, Xiaoli ^a   Li, Chengwei ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; BLOOD; FUNCTIONS; GLUCOSE; HEALTH RISKS; INFRARED DEVICES; LEAST SQUARES APPROXIMATIONS; PREDICTIVE ANALYTICS; SIGNAL RECONSTRUCTION; SUPPORT VECTOR REGRESSION;

BLOOD GLUCOSE CONCENTRATION; CORRELATIVE COEFFICIENTS; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; INTRINSIC MODE FUNCTIONS; NEAR-INFRARED TRANSMISSION SPECTROSCOPY; PARTIAL LEAST SQUARE (PLS); RADIAL BASIS FUNCTION KERNELS; SUPPORT VECTOR REGRESSION (SVR);

PARTICLE SWARM OPTIMIZATION (PSO);

GLUCOSE; GLUCOSE BLOOD LEVEL;

ARTICLE; CALIBRATION; COMPLETE ENSEMBLE EMPIRICAL MODE DECOMPOSITION WITH ADAPTIVE NOISE; CORRELATION COEFFICIENT; DECOMPOSITION; GENETIC ALGORITHM; GLUCOSE BLOOD LEVEL; NEAR INFRARED SPECTROSCOPY; NEAR INFRARED TRANSMISSION SPECTROSCOPY; NOISE; PARTIAL LEAST SQUARES REGRESSION; PARTICLE SWARM OPTIMIZATION SUPPORT VECTOR REGRESSION; SIGNAL NOISE RATIO; SUPPORT VECTOR MACHINE; WHITE NOISE; ALGORITHM; ANALYSIS; BLOOD; BLOOD GLUCOSE MONITORING; DIABETES MELLITUS; HUMAN; LEAST SQUARE ANALYSIS; LIGHT; NONLINEAR SYSTEM; NORMAL DISTRIBUTION; PROCEDURES; RADIATION SCATTERING; REPRODUCIBILITY; SIGNAL PROCESSING; THEORETICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; BLOOD GLUCOSE; BLOOD GLUCOSE SELF-MONITORING; CALIBRATION; DIABETES MELLITUS; HUMANS; IMAGING, THREE-DIMENSIONAL; LEAST-SQUARES ANALYSIS; LIGHT; MODELS, THEORETICAL; NONLINEAR DYNAMICS; NORMAL DISTRIBUTION; REPRODUCIBILITY OF RESULTS; SCATTERING, RADIATION; SIGNAL PROCESSING, COMPUTER-ASSISTED; SPECTROSCOPY, NEAR-INFRARED;

EID: 84985931241     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2016/8301962     Document Type: Article

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