NDLI: Electromyographic evaluation of therapeutic massage effect using multi-finger robot hand

Content Provider	IEEE Xplore Digital Library
Author	Luo, R.C. Chang, C.C.
Copyright Year	2011
Description	Author affiliation: National Chung Cheng University, Chiayi 62102, Taiwan (Chang, C.C.) \|\| National Taiwan University, Taipei 10617, Taiwan (Luo, R.C.)
Abstract	The multi-finger robot hand (IRA-Hand I) is specially designed for massage applications. Surface electromyographic (SEMG) evaluation of therapeutic massage effects using multi-finger robot hand are presented in this paper. After an isometric 50% MVC (maximum voluntary contraction) of human back muscles is performed for 90 seconds, SEMG signals of the subject show a muscular fatigue. A grasp-kneading massage by the robot hand is applied on the subject's shoulder for recovering from muscular fatigue. To evaluate the therapeutic effects of massage, the SEMG signals measured from the trapezius muscles before and after the massage therapy are analyzed. Electrical activity (EA) and median frequency (MF) of the SEMG signals are calculated as indexes of the muscle physiological states. The experimental results show that EA increases from the occurrence of fatigue, while MF shifts towards lower frequency in the spectral distribution. After massage, a decrease in EA and an increase in MF are observed which demonstrate the effectiveness of recovery through the grasp-kneading massage by the robot hand. In addition, the joint analysis of EMG spectrum and amplitude (JASA), which considers the changes in time domain and in frequency domain simultaneously, verifies that the therapeutic massage recovers the trapezius muscle from fatigue effectively. For comparison, the experiments with a massage specialist performing the massage therapy are conducted with the same procedures. It is evidenced that the robot hand massage has even better effectiveness than the human hand in most cases.
Starting Page	2431
Ending Page	2436
File Size	1010150
Page Count	6
File Format	PDF
ISBN	9781612843865
ISSN	10504729
e-ISBN	9781612843858
DOI	10.1109/ICRA.2011.5980147
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robots Electromyography Fatigue Muscles Force Medical treatment Humans
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software

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