Identification of EMG-force system using the second-order Volterra model

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)569-570
Journal / PublicationAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Proceedings
Volume2
Publication statusPublished - 1996
Externally publishedYes

Conference

TitleProceedings of the 1996 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2 (of 5)
CityAmsterdam, Neth
Period31 October - 3 November 1996

Abstract

Conventional method to demodulate force signal from corresponding electromyographic (EMG) signal is to low-pass filter the rectified EMG signal. This method gives rise to a poor performance when voluntary muscle contraction level increases or decreases rapidly. In this work, the second-order Volterra model was adopted to represent the EMG/Force system and the nonlinear system identification method was used to obtain the system parameters or kernel. The EMG and muscle force data were obtained from human biceps during isometric voluntary contraction. The results of this work show that the second-order Volterra model provides a faster response in the transient phase and smaller error in the steady state than conventional linear low-pass filter models.

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