Removal of Motion Noise from Surface-electromyography Signal Using Wavelet Adaptive Filter

DOI

10.2991/icmemtc-16.2016.250How to use a DOI?

Keywords

Surface-electromyography signal; Wavelet Transform; Adaptive Filter; Motion Noise

Abstract

Surface-electromyography (sEMG) is a kind of weak physiological signals. During the sEMG signals measurement, the motion noise caused by body movement can easily affect measurement accuracy. In order to prevent the noise, we designed a method to adaptive noise cancellation combined with wavelet transform for sEMG signal filter. Through the decomposition and reconstitution of the Surface-electromyography signal using wavelet transform, we extracted motion interference signal, as the reference input signal of adaptive noise canceller, to offset motion noise of the original sEMG signal. Without the loss of useful sEMG information, this method can suppress motion noise interference and improve the SNR of the measurement system. It laid a solid foundation for EMG feature extraction and pattern recognition.

Copyright

© 2016, 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  - Fei Wang
AU  - Xiao-yan Qiao
PY  - 2016/04
DA  - 2016/04
TI  - Removal of Motion Noise from Surface-electromyography Signal Using Wavelet Adaptive Filter
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1270
EP  - 1274
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.250
DO  - 10.2991/icmemtc-16.2016.250
ID  - Wang2016/04
ER  -