Abstract
In this paper the automatic segmentation of EMG signals based on wavelet representation is presented. It is shown that wavelet representation can be usefull in detecting particular spikes in EMG signals and the presented segmentation algorithm may be usefull for the detection of active segments. The algorithms has been tested on the synthetic model signal and on real signals recorded with transcutaneous multi-point electrode.
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© 2007 Springer-Verlag Berlin Heidelberg
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Mazurkiewicz, P. (2007). Automatic Segmentation of EMG Signals Based on Wavelet Representation. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_74
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DOI: https://doi.org/10.1007/978-3-540-75175-5_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75174-8
Online ISBN: 978-3-540-75175-5
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