DocumentCode
2398048
Title
Nonlinear modeling and identification of stretch reflex dynamics using support vector machines
Author
Al Dhaifallah, M. ; Westwick, David T.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada
fYear
2009
fDate
3-6 Sept. 2009
Firstpage
4371
Lastpage
4374
Abstract
In this work, an algorithm that identifies Hammerstein models with support vector machine nonlinearities and output-error linear dynamics is proposed. This algorithm is used to identify a Hammerstein model of stretch reflex EMG dynamics from experimental data.
Keywords
electromyography; physiological models; support vector machines; Hammerstein models; nonlinear modeling; output-error linear dynamics; stretch reflex EMG dynamics; support vector machines; Algorithms; Ankle; Artificial Intelligence; Electromyography; Humans; Muscle, Skeletal; Nonlinear Dynamics; Reflex, Stretch; Regression Analysis; Reproducibility of Results;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location
Minneapolis, MN
ISSN
1557-170X
Print_ISBN
978-1-4244-3296-7
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2009.5333808
Filename
5333808
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