Improvement of partial least squares models for in vitro and in vivo glucose quantifications by using near-infrared spectroscopy and searching combination moving window partial least squares

Chemometrics and Intelligent Laboratory Systems

Volumn 82, Issue 1-2 SPEC. ISS, 2006, Pages 97-103

  Kasemsumran, Sumaporn ^a   Du, Yi Ping ^b   Maruo, Katsuhiko ^c   Ozaki, Yukihiro ^a  

^a KWANSEI GAKUIN UNIVERSITY   (Japan)

^b SHANDONG UNIVERSITY OF TECHNOLOGY   (China)

^c PANASONIC CORPORATION   (Japan)

Author keywords

Blood glucose; Moving window partial least squares regression; Near infrared spectroscopy; Noninvasive measurement; Partial least squares regression; Searching combination moving window partial least squares

Indexed keywords

GLUCOSE;

ARTICLE; BLOOD SAMPLING; CHEMOMETRICS; CONTROLLED STUDY; COW; DATA ANALYSIS; GLUCOSE ASSAY; HUMAN; HUMAN TISSUE; IN VITRO STUDY; IN VIVO STUDY; MODEL; MOVING WINDOW PARTIAL LEAST SQUARES REGRESSION; NEAR INFRARED SPECTROSCOPY; NONHUMAN; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; QUANTITATIVE ANALYSIS; REGRESSION ANALYSIS; SKIN; SPECTRAL SENSITIVITY;

EID: 33646100742     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2005.08.014     Document Type: Article

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