Title :
Adaptive estimation of muscular force from the myoelectric signal obtained during dynamically contracting muscle
Author :
Zhang, Y.T. ; Herzog, W. ; Sokolosky, J. ; Guimaraes, A.C.S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada
Abstract :
The purpose of this study was to estimate the force of dynamically contracting muscles using direct measurements of electromyographic signals in cat plantaris muscles. An adaptive filtering least-mean-squares algorithm was used for the force estimation. The results of this study indicate that adequate estimations of dynamic muscular force are possible without using instantaneous muscle properties, such as force-length and force-velocity relations
Keywords :
bioelectric potentials; biological techniques and instruments; biomechanics; force measurement; muscle; adaptive estimation; adaptive filtering least-mean-squares algorithm; cat plantaris muscles; dynamic muscular force; dynamically contracting muscle; electromyographic signals; force estimation; force-length relation; force-velocity relation; muscular force; myoelectric signal; Adaptive estimation; Adaptive filters; Biomedical measurements; Electromyography; Force measurement; Least squares approximation; Legged locomotion; Muscles; Optical noise; Signal generators;
Conference_Titel :
Electrical and Computer Engineering, 1993. Canadian Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2416-1
DOI :
10.1109/CCECE.1993.332497
