Paper Info
Title
A Pwm-Based Muscle Fatigue Detection And Recovery System
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.
Year
DOI
Venue
2018
10.1109/BIBM.2018.8621418
PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)
Keywords
Field
DocType
Wi-Fi, Adaptive, PWM, Muscle Fatigue, Android
Muscle activity,Wireless network,Control theory,Simulation,Computer science,Pulse-width modulation,Electromyography,Artificial intelligence,Muscle fatigue,Vibration,Machine learning
Conference
ISSN
Citations 
PageRank 
2156-1125
2
0.43
References 
Authors
0
11
Name
Order
Citations
PageRank
Bin Ma111528.36
Chunxiao Li2258.46
Zhaolong Wu341.49
Yulong Huang475.59
Ada Chaeli Van Der Zijp-Tan542.17
Shaobo Tan675.59
Dongqi Li775.59
Ada Fong831.47
Chandan Basetty920.43
Glen M. Borchert10268.17
Jingshan Huang119423.27