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Title: Baseline adaptive wavelet thresholding technique for sEMG denoising
Authors: Bartolomeo, Luca
Zecca, Massimiliano
Sessa, Salvatore
Lin, Zhuohua
Mukaeda, Y.
Ishii, Hiroyuki
Takanishi, Atsuo
Keywords: Wavelet denoising
Surface electromyography
Issue Date: 2011
Publisher: © American Institute of Physics
Citation: BARTOLOMEO, L. ... et al, 2011. Baseline adaptive wavelet thresholding technique for sEMG denoising. AIP Conference Proceedings, 1371 (205), pp. 205 - 214.
Abstract: 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, these sources have frequency spectra that include also the low‐frequency components of the sEMG frequency spectrum; therefore, a standard all‐bandwidth filtering could alter important information. The Wavelet denoising method has been demonstrated to be a powerful solution in processing white Gaussian noise in biological signals. In this paper we introduce a new technique for the denoising of the sEMG signal: by using the baseline of the signal before the task, we estimate the thresholds to apply to the Wavelet thresholding procedure. The experiments have been performed on ten healthy subjects, by placing the electrodes on the Extensor Carpi Ulnaris and Triceps Brachii on right upper and lower arms, and performing a flexion and extension of the right wrist. An Inertial Measurement Unit, developed in our group, has been used to recognize the movements of the hands to segment the exercise and the pre‐task baseline. Finally, we show better performances of the proposed method in term of noise cancellation and distortion of the signal, quantified by a new suggested indicator of denoising quality, compared to the standard Donoho technique.
Description: Copyright 2011 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. The following article appeared in BARTOLOMEO, L. ... et al, 2011. Baseline adaptive wavelet thresholding technique for sEMG denoising. AIP Conference Proceedings, 1371 (205), pp. 205 - 214 and may be found at: http://dx.doi.org/10.1063/1.3596644.
Sponsor: This research has been supported by the G-COE Global Robot Academia Program in Waseda University, Japan and partially by a Grant by STMicroelectronics. This research has been conducted at Humanoid Robotics Institute, in collaboration with the G-COE Global Robot Academia. The authors would like to express their gratitude to Okino Industries LTD, Japan ROBOTECH LTD, SolidWorks Corp, Dyden, for their support to the research.
Version: Published
DOI: 10.1063/1.3596644
URI: https://dspace.lboro.ac.uk/2134/17576
Publisher Link: http://dx.doi.org/10.1063/1.3596644
ISSN: 0094-243X
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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