Nonlinear modeling and identification of stretch reflex dynamics using support vector machines

Mujahed Al Dhaifallah; David T Westwick

doi:10.1109/IEMBS.2009.5333808

Nonlinear modeling and identification of stretch reflex dynamics using support vector machines

Annu Int Conf IEEE Eng Med Biol Soc. 2009:2009:4371-4. doi: 10.1109/IEMBS.2009.5333808.

Authors

Mujahed Al Dhaifallah¹, David T Westwick

Affiliation

¹ Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, Calgary, Canada.

PMID: 19964358
DOI: 10.1109/IEMBS.2009.5333808

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.

MeSH terms

Algorithms*
Ankle / physiology
Artificial Intelligence*
Electromyography / methods*
Humans
Muscle, Skeletal / physiology*
Nonlinear Dynamics*
Reflex, Stretch / physiology*
Regression Analysis
Reproducibility of Results