Towards whole body fatigue assessment of human movement: a fatigue-tracking system based on combined sEMG and accelerometer signals.
This paper proposes a method to assess the overall fatigue of human body movement. First of all, according to previous research regarding localized muscular fatigue, a linear relation is assumed between the mean frequency and the muscular working time when the muscle is experiencing fatigue. This assumption is verified with a rigorous statistical analysis. Based on this proven linearity, localized muscular fatigue is simplified as a linear model. Furthermore, localized muscular fatigue is considered a dynamic process and, hence, the localized fatigue levels are tracked by updating the parameters with the most current surface electromyogram (sEMG) measurements. Finally, an overall fatigue level is computed by fusing localized muscular fatigue levels. The developed fatigue-tracking system is evaluated with two fatigue experiments (in which 10 male subjects and seven female subjects participated), including holding self-weight (dip start position training) and lifting weight with one arm (arm curl training).
School of Electrical Engineering and Computer Science, University of Ottawa, 800 King Edward, K1N 6N5, Ottawa, ON, Canada. hdong@uottawa.ca.
Haiwei
H
Dong
Division of Engineering, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, UAE. izaskun.ugalde@nyu.edu.
Izaskun
I
Ugalde
Learning Algorithms and Systems Laboratory, Ecole Polytechnique Federale de Lausanne (EPFL), Station 9, CH 1015, Lausanne, Switzerland. nadia.figueroafernandez@epfl.ch.
Nadia
N
Figueroa
School of Electrical Engineering and Computer Science, University of Ottawa, 800 King Edward, K1N 6N5, Ottawa, ON, Canada. elsaddik@uottawa.ca.
Abdulmotaleb
A
El Saddik
D000328:Adult; D000704:Analysis of Variance; D015992:Body Mass Index; D004576:Electromyography; D005260:Female; D006801:Humans; D008297:Male; D018763:Muscle Fatigue / Q000502:physiology*; D059015:Wireless Technology