Baseline adaptive wavelet thresholding technique for sEMG denoising

The surface Electromyography (sEMG) signal is affected by different sources of noises: current technology is considerably robust to the interferences of the power line or the cable motion artifacts, but still there are many limitations with the baseline and the movement artifact noise. In particular...

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Bibliographic Details
Main Authors: Luca Bartolomeo, Massimiliano Zecca, Salvatore Sessa, Zhuohua Lin, Y. Mukaeda, Hiroyuki Ishii, Atsuo Takanishi
Format: Default Article
Published: 2011
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Online Access:https://hdl.handle.net/2134/17576
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