2012 IJCAET -Bartolomeo - BADA.pdf (1.11 MB)
Wavelet thresholding technique for sEMG denoising by baseline estimation
journal contribution
posted on 2015-05-21, 09:06 authored by Luca Bartolomeo, Massimiliano ZeccaMassimiliano Zecca, Salvatore Sessa, Atsuo TakanishiThe 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.
Funding
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.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
International Journal of Computer Aided Engineering and TechnologyVolume
4Issue
6Pages
517 - 534Citation
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.Publisher
© InderscienceVersion
- SMUR (Submitted Manuscript Under Review)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2012Notes
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.2012.049573ISSN
1757-2657eISSN
1757-2665Publisher version
Language
- en