The Research of Signal Processing of the Control System Based on Electromyography Signal
The analysis and feature extraction of surface electromyography signal (sEMG) are important in the clinical diagnosis of human function state and patients rehabilitation. The principle of rehabilitation training and implementation process is introduced in the paper. The hardware of the control syste...
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Published in | 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC) Vol. 1; pp. 908 - 911 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.07.2017
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Subjects | |
Online Access | Get full text |
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Summary: | The analysis and feature extraction of surface electromyography signal (sEMG) are important in the clinical diagnosis of human function state and patients rehabilitation. The principle of rehabilitation training and implementation process is introduced in the paper. The hardware of the control system and the mode of training and the spectacle of virtual reality are designed. while the feature extraction is the basis of EMG signal analysis, the main kinds of methods of time domain and frequency domain are presented in the paper. |
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ISBN: | 9781538632208 1538632209 |
DOI: | 10.1109/CSE-EUC.2017.184 |