A technique for classification and decomposition of muscle signal for control of myoelectric prostheses based on wavelet statistical classifier

Author:

Veer Karan

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference23 articles.

1. Qingju Zhang, Zhizeng Luo, Wavelet de-noising of electromyography, in: Proceedings of the IEEE International Conference on Mechatronics and Automation, China, 2006, pp. 1553–1558.

2. Techniques of EMG signal analysis: detection, processing, classification and applications;Reaz;IEEE Trans. Biomed. Eng.,2006

3. Control of hand prostheses using peripheral information;Silvestro;IEEE Rev BME,2010

4. Technology and instrumentation for detection and conditioning of the surface electromyographic signal: state of the art;Roberto;Clin. Biomech.,2009

5. Interpretation of wrist operations from surface-EMG signals at different locations on arm along with acupressure points;Ryait;IEEE Trans. Biomed. Circuits Syst.,2010

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