EMG signal filtering based on Empirical Mode DecompositionAndrade, A. O., Nasuto, S., Kyberd, P., Sweeney-Reed, C. M. and Van Kanijn, F. R. (2006) EMG signal filtering based on Empirical Mode Decomposition. Biomedical Signal Processing and Control, 1 (1). pp. 44-55. ISSN 1746-8094 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1016/j.bspc.2006.03.003 Abstract/SummaryThis paper introduces a procedure for filtering electromyographic (EMG) signals. Its key element is the Empirical Mode Decomposition, a novel digital signal processing technique that can decompose my time-series into a set of functions designated as intrinsic mode functions. The procedure for EMG signal filtering is compared to a related approach based on the wavelet transform. Results obtained from the analysis of synthetic and experimental EMG signals show that Our method can be Successfully and easily applied in practice to attenuation of background activity in EMG signals. (c) 2006 Elsevier Ltd. All rights reserved.
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