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The surface electromyography signal of stump was applied to recognize the intention of disable people, and control the intelligent above-knee prosthesis. Since the electromyography signal was non-stationary and non-linear signal, Hilbert-Huang transform was applied to extract the frequency feature. The time and frequency features of surface electromyography signal recorded from biceps femoris of the...
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,...
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