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Title: Textile Integrated Contactless EMG Sensing for Stress Analysis
Authors: Taelman, Joachim
Adriaensen, Tine
van der Horst, C
Linz, T
Spaepen, Arthur
Issue Date: 2007
Host Document: Proc. of the Annual International Conference of the IEEE, Engineering in Medicine and Biology Society (IEEE/EMBC) pages:3966-3969
Conference: Annual International Conference of the IEEE, Engineering in Medicine and Biology Society (IEEE/EMBC) location:Lyon, France date:Aug. 1907
Abstract: Removing artifacts from biomedical signals, such as surface electromyography (sEMG), has become a major research topic in biomedical signal processing. In electromyography signals, a source of contamination is the electrophysiological signal of the heart (ECG signals). This contamination influences features extracted from the sEMG, especially during low-activity measurements of the muscles such as during mental stress. As the heart is a muscle, the frequency content of the heart signals overlaps the frequency content of the muscle signals, so basic frequency filtering is not possible. In this paper, we present the results of a recently developed algorithm: wavelet-independent component analysis. We compare these results with the widely described algorithm of ECG template subtraction for removing ECG contamination.
Description: \emph{Proc. of the Annual International Conference of the IEEE, Engineering in Medicine and Biology Society (IEEE/EMBC)}, Lyon, France, Aug. 1907
ISBN: 978-1-4244-0788-0
ISSN: 1557-170X
Publication status: published
KU Leuven publication type: IC
Appears in Collections:ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
Movement Control & Neuroplasticity Research Group

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