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Application of bioelectrical impedance sensing techniques for dengue infection with non-linear autoregressive model

Abdul Rahim, H. and Ibrahim, F. and Taib, M. N. (2011) Application of bioelectrical impedance sensing techniques for dengue infection with non-linear autoregressive model. International Journal of Computer Technology and Applications, 2 (1). pp. 207-215. ISSN 22296093

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Abstract

This paper discussed novel system identification for bioelectrical impedance measurement parameter for monitoring dengue infections by using nonlinear AR (NAR) based on Artificial Neural Network (ANN). Bioelectrical impedance measurement indicate the volume of Hb of the subjects and NAR model with regularized approach yields better accuracy by 80.60% for bioelectrical impedance sensing method. In building the model, three parameter were considered; the final prediction error (FPE), Akaike’s Information Criteria (AIC), and Lipschitz number.

Item Type:Article
Uncontrolled Keywords:dengue fever, NAR model, AIC, lipschitz, FPE, ROC, AUC
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:6965
Deposited By: Liza Porijo
Deposited On:15 Dec 2008 07:14
Last Modified:13 Jul 2014 05:35

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