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Volumn 4916, Issue , 2002, Pages 465-472

Determination of instrumental precision requirement for the expected glucose prediction accuracy

Author keywords

Blood glucose; Chemometrics; Instrumental precision; Noninvasive measurement; Partial least squares; Prediction uncertainty; Signal to noise ratio

Indexed keywords

BIOMEDICAL ENGINEERING; BLOOD; GLUCOSE; LEAST SQUARES APPROXIMATIONS; REGRESSION ANALYSIS; SIGNAL TO NOISE RATIO;

EID: 0036442644     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.483008     Document Type: Conference Paper
Times cited : (2)

References (8)
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  • 2
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  • 3
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    • Shengtian, P.1    Hoeil, C.2    Arnold, M.A.3
  • 4
    • 0003880935 scopus 로고
    • Non-invasive measurement of blood glucose
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    • Rorbert D.Rosenthal, et al. Non-invasive measurement of Blood Glucose. U.S. Patent. 5028787, 1991.
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  • 5
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  • 6
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    • Measurement of glucose in water with first-overtone near-infrared spectra
    • Kevin H.Hazen, Mark A.Arnold, and Gary W. Small, "Measurement of glucose in water with first-overtone near-infrared spectra", Applied Spectroscopy. 52, pp. 1597-1605, 1998.
    • (1998) Applied Spectroscopy , vol.52 , pp. 1597-1605
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  • 8
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    • Genetic algorithm-based method for selecting wavelengths and model size for use with partial least-squares regression: Application to near-infrared spectroscopy
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.