SNR estimation in EMG signals contaminated with motion artifact
Author:
Affiliation:
1. Prince of Songkla University,Faculty of Engineering,Department of Electrical Engineering,Hat Yai,Songkla,Thailand,90112
Funder
Thailand Research Fund
Prince of Songkla University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10011576/10011577/10012080.pdf?arnumber=10012080
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1. On Surface EMG Spectral Characterization and Its Application to Diagnostic Classification
2. Identification of Contaminant Type in Surface Electromyography (EMG) Signals
3. Sampling, noise-reduction and amplitude estimation issues in surface electromyography
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5. An evolvable hardware chip for prosthetic hand controller;isamu;Proceeding of the 7th Int Conf Micro Electron,2002
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