title: Nonlinear modeling and identification of stretch reflex dynamics using support vector machines.
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.
authors: Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, Calgary, Canada.
authors: Mujahed Al
authors: MA
authors: Dhaifallah
authors: David T
authors: DT
authors: Westwick
mesh_terms: 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