Title of article :
Quantitative Assessment of Muscle Fatigue for FES Research Studies
Author/Authors :
Khosravani، S نويسنده Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran , , Maleki، A نويسنده Assistant Professor, Department of Electrical and Computer Engineering, Semnan University, Semnan, Iran , , Fallah، A نويسنده Assistant Professor, Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran ,
Issue Information :
فصلنامه با شماره پیاپی 0 سال 2012
Abstract :
Background: Muscle fatigue is an important issue in neuromuscular rehabilitation.
Better control of this phenomenon would result in better prevention of its consequent
physiological damages.
Objective: To provide a mathematical representation of muscle fatigue as a function
of time.
Methods: We conducted this study by combining the EMG-based estimation methods
of muscle activation with the available muscle fitness equations describing the
electrically evoked muscular contractions. Two groups of experiments were devised
to produce a set of isometric and dynamic contractions in two hand muscles—biceps
and deltoid—in a healthy man. The relevant surface EMG signals recorded simultaneously
from the target muscles, provided the data needed for this process. Secondly,
a number of EMG-based fatigue indices including peak to peak amplitude, root mean
square values, average rectified values, number of zero crossings and mean frequency,
were evaluated for the assessment of fatigue in the devised experiments. The
mentioned indices were then, plotted as a function of the calculated fatigue, so that a
mathematical representation of their relationship could be achieved.
Results: The results showed an overall increase in fatigue index for both groups
of contractions as time passed, and, as was expected, the calculated fatigue in dynamic
experiments stood at lower levels, having some fluctuations, in comparison to
the isometric ones.
Conclusion: The mathematical relationships between the time and frequencydomain
fatigue indices and the proposed index were compatible with the previous
experimental observations. These findings could be applied for the assessment and
control of muscle fatigue in FES-research studies.
Journal title :
Journal of Biomedical Physics and Engineering
Journal title :
Journal of Biomedical Physics and Engineering