Nonlinear modeling and identification of stretch reflex dynamics using support vector machines.
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.
Dhaifallah
Mujahed Al
MA
Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, Calgary, Canada.
Westwick
David T
DT
D000465:Algorithms; D000842:Ankle / Q000502:physiology; D001185:Artificial Intelligence; D004576:Electromyography / Q000379:methods*; D006801:Humans; D018482:Muscle, Skeletal / Q000502:physiology*; D017711:Nonlinear Dynamics; D012026:Reflex, Stretch / Q000502:physiology*; D012044:Regression Analysis; D015203:Reproducibility of Results