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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5333808
