Movement recognition by electromyography signal for transfemoral prosthesis control

The surface electromyography signal extracted from the stump was applied to recognize the movement, and be translated into on-off signal to fulfill the conversion from standing to walking. According to the different situation of stump, the signals extracted from different muscles were applied to con...

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Bibliographic Details
Main Authors: Lingling Chen, Peng Yang, Linan Zu, Xin Guo
Format: Conference Proceeding
Language:English
Subjects:
Electromyography
factor analysis
Frequency
Hilbert-Huang transform
Knee
Leg
Legged locomotion
Low pass filters
movement recognition
Muscles
powered transfemoral prosthesis
Prosthetics
Signal analysis
Stability
surface electromyography signal
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Description
Summary:The surface electromyography signal extracted from the stump was applied to recognize the movement, and be translated into on-off signal to fulfill the conversion from standing to walking. According to the different situation of stump, the signals extracted from different muscles were applied to control the prosthesis. Factor analysis was applied to find the relationship between different muscle groups, and to reduce the number of muscles. Hilbert-Huang transform was applied to extract the frequency features, and time and frequency features were applied to recognize the beginning of barycenter transfer movement. The result of this study indicates that this method can recognize the movement with a higher identification rate.
ISSN:2156-2318
2158-2297
DOI:10.1109/ICIEA.2009.5138333