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Volumn 77, Issue 6, 2011, Pages 1034-1037

Estimating reaction delay for glucose level prediction

Author keywords

[No Author keywords available]

Indexed keywords

GLUCOSE;

EID: 80755132265     PISSN: 03069877     EISSN: 15322777     Source Type: Journal    
DOI: 10.1016/j.mehy.2011.08.042     Document Type: Article
Times cited : (14)

References (9)
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    • 78650183075 scopus 로고    scopus 로고
    • Mathematical models and state observation of the glucose-insulin homeostasis
    • De Gaetano A., Di Martino D., Germani A., Manes C. Mathematical models and state observation of the glucose-insulin homeostasis. Syst Model Optim 2005, 166:281-294.
    • (2005) Syst Model Optim , vol.166 , pp. 281-294
    • De Gaetano, A.1    Di Martino, D.2    Germani, A.3    Manes, C.4
  • 2
    • 64349107874 scopus 로고    scopus 로고
    • Estimation of future glucose concentrations with subject-specific recursive linear models
    • Eren-Oruklu M., Cinar A., Quinn L., Smith D. Estimation of future glucose concentrations with subject-specific recursive linear models. Diabetes Technol Ther 2009, 11(4):243-253. 10.1089/dia.2008.0065.
    • (2009) Diabetes Technol Ther , vol.11 , Issue.4 , pp. 243-253
    • Eren-Oruklu, M.1    Cinar, A.2    Quinn, L.3    Smith, D.4
  • 3
    • 75749130634 scopus 로고    scopus 로고
    • Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring
    • Pérez-Gandía C., Facchinetti A., Sparacino G., Cobelli C., Gómez E.J., Rigla M., et al. Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring. Diabetes Technol Ther 2010, 12(1):81-88. 10.1089/dia.2009.0076.
    • (2010) Diabetes Technol Ther , vol.12 , Issue.1 , pp. 81-88
    • Pérez-Gandía, C.1    Facchinetti, A.2    Sparacino, G.3    Cobelli, C.4    Gómez, E.J.5    Rigla, M.6
  • 4
    • 34548324022 scopus 로고    scopus 로고
    • The impact of non-model-related variability on blood glucose prediction
    • Kildegaard J., Randløv J., Poulsen J.U., Hejlesen O.K. The impact of non-model-related variability on blood glucose prediction. Diabetes Technol Ther 2007, 9(4):363-371. 10.1089/dia.2006.0039.
    • (2007) Diabetes Technol Ther , vol.9 , Issue.4 , pp. 363-371
    • Kildegaard, J.1    Randløv, J.2    Poulsen, J.U.3    Hejlesen, O.K.4
  • 5
    • 70349245305 scopus 로고    scopus 로고
    • A tale of two compartments: interstitial versus blood glucose monitoring
    • Cengiz E., Tamborlane W.V. A tale of two compartments: interstitial versus blood glucose monitoring. Diabetes Technol Ther 2009, 11(1). 10.1089/dia.2009.0002.
    • (2009) Diabetes Technol Ther , vol.11 , Issue.1
    • Cengiz, E.1    Tamborlane, W.V.2
  • 6
    • 79951623988 scopus 로고    scopus 로고
    • Modeling of compartment reaction delay and glucose travel time through interstitial fluid in reaction to a change of glucose concentration. In: Proceedings of the 10th IEEE international conference on information technology and applications in biomedicine, Greece, Corfu
    • Koutny T, Modeling of compartment reaction delay and glucose travel time through interstitial fluid in reaction to a change of glucose concentration. In: Proceedings of the 10th IEEE international conference on information technology and applications in biomedicine, Greece, Corfu 2010.
    • (2010)
    • Koutny, T.1
  • 7
    • 80755174331 scopus 로고    scopus 로고
    • Precise prediction of interstitial glucose level. Submitted to IEEE transactions on information technology in biomedicine, IEEE, April 7
    • T. Koutny, Precise prediction of interstitial glucose level. Submitted to IEEE transactions on information technology in biomedicine, IEEE, April 7, 2011.
    • (2011)
    • Koutny, T.1
  • 8
    • 80755122799 scopus 로고    scopus 로고
    • The biomedical engineering handbook. 3rd ed. CRC Press;. ISBN: 978-0849321245.
    • Bronzino JD, The biomedical engineering handbook. 3rd ed. CRC Press; 2006. ISBN: 978-0849321245.
    • (2006)
    • Bronzino, J.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.