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http://dx.doi.org/10.17661/jkiiect.2018.11.1.114

Design and Implementation of Electromyographic Sensor System for Wearable Computing  

Lee, Young-Seok (Department of Electronic Eng., Incheon Campus, Chungwoon University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.11, no.1, 2018 , pp. 114-120 More about this Journal
Abstract
In this paper we implemented an EMG sensor system for wearable devices to obtain and analyze of EMG signals. The performance of the implemented sensor system is evaluated by the correlation analysis of muscle fatigue and muscle activation to clinical EMG system and compared with power consumption of the measured power of our system and commercial systems. In experiments with biceps and triceps brachii of 5 objects, The correlation values of muscle fatigue and muscle activation between our system and the clinical EMG system is 1.1~1.4 and about 1.0, respectively. And also the power consumption of our system is 25~50% less than that of some commercial EMG sensor systems.
Keywords
EMG sensor system; Muscle activation; Muscle fatigue; Power consumption; Wearable device;
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