The Muscle Activity Detection from Surface EMG Signal Using the Morphological Filter

Abstract:

For the recognition of action sEMG signal, the muscle activity detection is the elementary work, and the morphological filter was explored to achieve the target in this paper. To reduce the noise interference in the collected sEMG signal, the band-pass filter and spectrum interpolation method were applied. Based on two structuring elements, the morphological filter was utilized to separate the action signal from the background signal. Then, the amplitude envelope which could indicate the muscle activity was acquired. The experimental results showed that the satisfying muscle activity detection performance could be implemented by the morphological filter.

• Periodical: Applied Mechanics and Materials (Volumes 195-196)
• Pages: 1137-1141
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.195-196.1137
• Online since: August 2012
• Authors: Qiang Li, Bo Li
• Keywords: Morphological Filter, Muscle Activity, sEMG Signal, Structuring Element

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