ISSN: 0973-7510

E-ISSN: 2581-690X

Bo You1#, Hanqing Zhao2,3# and Liu Yi1
1School of Automation, Harbin University of Science and Technology, Harbin, China.
2Academy of Measure-Control Technology and Communication Engineering, Harbin University of Science and Technology, Harbin, China.
3School of Mechanical Engineering, Heilongjiang Institute of Science and Technology, Harbin, China.
J Pure Appl Microbiol. 2013;7(Spl. Edn.: April):323-328
© The Author(s). 2013
Received: 03/03/2013 | Accepted: 14/04/2013 | Published: 30/04/2013
Abstract

In allusion to the defects of surface electromyography signals (SEMG) extraction currently caused by serious (electromyography signals) EMG distortion when we put the severe force to the SEMG extraction, this paper presents a envelope filtering method based on the shape of the SEMG contour curve and processes a frequency analysis to it. This method can not be influenced by the muscle contraction force and can restrain the distraction of power frequency electric and its overtone, then extracts the EMG effectively as well as decides the status of contraction and relaxation force of the corresponding muscles and the contraction force of the muscles by the variation trend of the EMG envelope curve, this method lay the root for the real-time processing of the follow-up EMG and the control of the artificial hand because of its simple algorithm and fast operation.

Keywords

Surface electromyography signals (SEMG), Envelop filter, Spectrum analysis, Power frequency interference

Article Metrics

Article View: 0

Share This Article

© The Author(s) 2013. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License which permits unrestricted use, sharing, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.