DocumentCode
754800
Title
A muscle fatigue index based on the relationship between preceding background activity, and myotatic reflex response (MRR)
Author
Kiryu, Tohru ; Saitoh, Yoshiaki ; Ishioka, Kiyoshi
Author_Institution
Fac. of Eng., Niigata Univ., Japan
Volume
39
Issue
2
fYear
1992
Firstpage
105
Lastpage
111
Abstract
An index of muscular fatigue was developed using the myotatic reflex response (MRR). The MRR of masseter muscles is evoked by periodical mechanical chin tapping during clenching. The MRR waveform is composed of somewhat synchronized action potentials of muscle fibers. The authors estimate the change of the MRR waveform due to fatigue using the instantaneous frequency pattern (IFP) with the Hilbert transform. As a result, the features of IFP were different from the monotonic changes that have been observed by the conventional fatigue indices. That is, a plateau IFP was observed ahead of considerable fatigue, whereas the IFP showed a monopeak pattern during the other phase of an exercise. Also, the relationship between the preceding background mean power frequency and the instantaneous frequency around the first part of the MRR waveform was nonlinear during the whole process of fatigue. These features may allow the authors to estimate the degree of fatigue at each time instant.
Keywords
bioelectric potentials; mechanoception; muscle; Hilbert transform; clenching; exercise; instantaneous frequency; masseter muscles; mean power frequency; monopeak pattern; monotonic changes; muscle fatigue index; myotatic reflex response; nonlinear waveform; periodical mechanical chin tapping; preceding background activity; synchronized action potentials; Computer simulation; Dentistry; Electromyography; Fatigue; Frequency synchronization; Life estimation; Muscles; Neuromuscular stimulation; Prosthetics; Signal analysis; Action Potentials; Algorithms; Computer Simulation; Electromyography; Evoked Potentials; Fatigue; Fourier Analysis; Humans; Male; Masseter Muscle; Mechanoreceptors; Models, Biological; Models, Neurological; Muscle Contraction; Neural Conduction; Neuromuscular Junction; Percussion; Reaction Time; Reflex, Stretch; Signal Processing, Computer-Assisted;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/10.121641
Filename
121641
Link To Document