Title :
Hill muscle model performance during natural activation and electrical stimulation
Author :
Perreault, Eric J. ; Sandercock, Thomas G. ; Heckman, Charles J.
Author_Institution :
Dept. of Physiol., Northwestern Univ. Med. Sch., Chicago, IL, USA
Abstract :
This study assessed the ability of the Hill model to predict muscle force for both electrically stimulated and naturally activated cat soleus muscle. Our results indicate that Hill model errors increase with increases in muscle velocity and decrease with increases in motor unit firing rates. For a given muscle velocity, errors were largest in for the range of firing frequencies most relevant for naturally activated muscle. During large muscle displacements, average Hill model errors often were greater than 100%.
Keywords :
biomechanics; errors; muscle; physiological models; Hill model errors; Hill muscle model performance; cat soleus muscle; electrical stimulation; firing frequencies range; motor unit firing rates; muscle displacements; muscle force prediction; muscle velocity; naturally activated muscle; Anesthesia; Animals; Biomechanics; Electrical stimulation; Force control; Frequency; Muscles; Physiology; Predictive models; Surgery;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1020420