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Volumn 15, Issue PART 1, 2009, Pages 233-238

Subspace-based model identification of diabetic blood glucose dynamics

Author keywords

Diabetes; Glucose insulin dynamics; Mathematical model; Physiological models; Subspace based system identification

Indexed keywords

ABRUPT CHANGE; BLOOD GLUCOSE; BLOOD GLUCOSE LEVEL; CALIBRATION DATA; DIABETES MELLITUS; GLUCOSE CONTROL; GLUCOSE-INSULIN DYNAMICS; HEALTH DAMAGE; INSULIN DELIVERY; LIMITING FACTORS; LOW COMPLEXITY; MODEL IDENTIFICATION; STATE-SPACE MODELS; SYSTEM IDENTIFICATIONS; VALIDATION DATA;

EID: 80051608308     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20090706-3-FR-2004.0380     Document Type: Conference Paper
Times cited : (19)

References (18)
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  • 3
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  • 10
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  • 11
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    • Makroglou, A.1    Li, J.2    Kuang, Y.3
  • 13
    • 34247372642 scopus 로고    scopus 로고
    • Glucose concentration can be predicted ahead in time from continuous glucose monitoring sensor time-series
    • DOI 10.1109/TBME.2006.889774, 21
    • Sparacino, G., Zanderigo, F., Corazza, S., Maran, A., Facchinetti, A., and Cobelli, C. (2007). Glucose concentration can be predicted ahead in time from continuous glucose monitoring sensor time-series. IEEE Trans. Biomedical Eng., 54(5), 931-937. (Pubitemid 46628560)
    • (2007) IEEE Transactions on Biomedical Engineering , vol.54 , Issue.5 , pp. 931-937
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  • 14
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    • Short-term diabetes blood glucose prediction based on blood glucose measurements
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  • 17
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.