DocumentCode :
2666587
Title :
Nonlinear identification methods for modeling biomedical systems
Author :
Kearney, Robert ; Westwick, David
Author_Institution :
Dept. of Biomed. Eng., McGill Univ., Montreal, Que., Canada
fYear :
1998
fDate :
20-22 May 1998
Firstpage :
1
Lastpage :
10
Abstract :
This review describes a variety of model structures and estimation methods suitable for the identification of nonlinear systems in biomedical engineering applications. The Wiener-Bose model structure provides a common reference since all other model structures can be viewed as special cases. Moreover, it simplifies the interpretation of different estimation methods since they may be all interpreted in terms of identifying different components of Wiener-Bose models
Keywords :
biomedical engineering; identification; nonlinear systems; physiological models; reviews; Wiener-Bose model structure; biomedical systems modeling; estimation methods; model structures; nonlinear identification methods; Biomedical engineering; Biomedical measurements; Mathematical model; Noise figure; Noise measurement; Nonlinear dynamical systems; Nonlinear systems; Signal processing; Stochastic resonance; System identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering Days, 1998. Proceedings of the 1998 2nd International Conference
Conference_Location :
Istanbul
Print_ISBN :
0-7803-4242-9
Type :
conf
DOI :
10.1109/IBED.1998.710540
Filename :
710540
Link To Document :
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