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Electromyogram signal analysis and movement recognition based on wavelet packet transform

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4 Author(s)
Lingling Chen ; School of Electrical Engineering and Automation, Hebei University of Technology, Tianjin 300130 China ; Peng Yang ; Linan Zu ; Xiaoyun Xu

For recognizing the movement intent of amputee, surface electromyogram signals which can reflect movement intent and can be measured without invasion were applied to identify movement transition. Wavelet packet transform was applied to analyze the electromyogram signal, extract its frequency feature and recognize movement. The result of this study indicates that if the suitable coefficients were selected, the movement transition from standing to sitting and from sitting to standing can be recognized with a higher identification rate, and has a great potential in practical application of artificial lower limb.

Published in:

Information and Automation, 2009. ICIA '09. International Conference on

Date of Conference:

22-24 June 2009