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Title: Wavelet thresholding technique for sEMG denoising by baseline estimation
Authors: Bartolomeo, Luca
Zecca, Massimiliano
Sessa, Salvatore
Takanishi, Atsuo
Keywords: SEMG
Surface electromyography
Wavelet denoising
Issue Date: 2012
Publisher: © Inderscience
Citation: BARTOLOMEO, L. ... et al, 2012. Wavelet thresholding technique for sEMG denoising by baseline estimation. International Journal of Computer Aided Engineering and Technology, 4 (6), pp. 517 - 534.
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 cable motion artefacts, but still there are many limitations in denoising the baseline. In this paper, we introduce a new technique, named baseline adaptive denoising algorithm (BADA), for denoising the sEMG signal by wavelet thresholding procedure. In particular, the thresholds are estimated using the same baseline signal with fixed and adaptive techniques. Eventually, we verify that the proposed adaptive method performs better than the standard Donoho technique and different variations, in term of noise cancellation and distortion of the signal, quantified by a new suggested indicator of the denoising quality. Copyright © 2012 Inderscience Enterprises Ltd.
Description: This article was published in the International Journal of Computer Aided Engineering and Technology [© Inderscience]. The definitive version is available at: http://dx.doi.org/10.1504/IJCAET.2012.049573
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: Submitted for publication
DOI: 10.1504/IJCAET.2012.049573
URI: https://dspace.lboro.ac.uk/2134/17562
Publisher Link: http://dx.doi.org/10.1504/IJCAET.2012.049573
ISSN: 1757-2657
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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