Extraction and Amplification of EMG Signal in Lower Limb Based on Kisavi Camera and Online Segmentation Technology

DOI

10.2991/amcce-15.2015.163How to use a DOI?

Keywords

3D imaging; Electromyography telemetry; Low pass filter; Online segmentation; Football technology; EMG

Abstract

In order to reveal the biomechanical characteristics and injury risk factors of football special technology, the prevention of knee joint injury uses surface electromyography telemetry and 3D imaging technology to carry on synchronous test for the technical movement. Using the Butterworth low pass filter in MATLAB software, and combined with signal online segmentation model, this paper designs the signal extraction algorithm. Through the test and the simulation, the results show that the gluteus maximus is discharge obviously and the largest contribution, the contribution of anterior thigh muscles and crus muscle is second, and fast pedal is risk factors of knee joint injury in too small flexor angle, which provides technical reference for football basic skills practice and finalizing the correct technique.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenyong Zhou
AU  - Jialin Zhang
PY  - 2015/04
DA  - 2015/04
TI  - Extraction and Amplification of EMG Signal in Lower Limb Based on Kisavi Camera and Online Segmentation Technology
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 896
EP  - 901
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.163
DO  - 10.2991/amcce-15.2015.163
ID  - Zhou2015/04
ER  -