Title :
EMG-to-torque dynamic relationship for elbow constant angle contractions
Author :
Bouchard, Stéphane ; Rancourt, Denis ; Clancy, Edward A.
Author_Institution :
Dept. de Genie Electr., Laval Univ., Que., Canada
Abstract :
The purpose of this work was to determine the optimal EMG-torque relationship using four different EMG processors in conjunction with different system identification (ID) techniques for dynamically torque varying elbow constant angle contractions. Comparing predicted torque with actual elbow torque, it was found that either multiple EMG channels or EMG signal whitening lead to the best relationship. The choice of the system ID model had limited effect on performance
Keywords :
adaptive filters; amplitude estimation; autoregressive processes; electromyography; medical signal processing; physiological models; smoothing methods; torque; ARX model; EMG processors; EMG signal whitening; EMG-to-torque dynamic relationship; amplitude estimation; elbow constant angle contractions; multiple EMG channels; optimal EMG-torque relationship; output error model; system identification techniques; Amplitude estimation; Elbow; Electrodes; Electromyography; Muscles; Poles and zeros; Prosthetics; Signal to noise ratio; System identification; Torque;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.802651
