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A PWM-Based Muscle Fatigue Detection and Recovery System

Authors :
Jingshan Huang
Chunxiao Li
Shaobo Tan
Ada Chaeli van der Zijp-Tan
Yulong Huang
Ada Fong
Glen M. Borchert
Bin Ma
Dongqi Li
Zhaolong Wu
Chandan Basetty
Source :
BIBM
Publication Year :
2018
Publisher :
IEEE, 2018.

Abstract

Muscle fatigue is a problem that is often encountered in daily life. To facilitate muscle fatigue detection, a pulse width modulation (PWM) and ESP8266-based fatigue detection and recovery system is introduced in this paper to help alleviate muscle fatigue. The ESP8266 is employed as the main controller and communicator, and PWM technology was employed to achieve adaptive muscle recovery. Muscle fatigue can be detected by surface electromyography (sEMG) signals and monitored in real time via a wireless network. With the help of the proposed system, human muscle fatigue status can be monitored in real-time, and the recovery vibration motor status can be optimized according to muscle activity state. Experimental results showed that the proposed system is sensitive and stable, requires minimal power, and can be of benefit to muscle fatigue monitoring and recovery.

Details

Database :
OpenAIRE
Journal :
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Accession number :
edsair.doi...........9d3d4ea185b4a98cdc930a248b3b6af8
Full Text :
https://doi.org/10.1109/bibm.2018.8621418