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Performance Investigation of Empirical Mode Decomposition in Biomedical Signals

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Wireless Mobile Communication and Healthcare (MobiHealth 2010)

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Abstract

In this paper, the performance of Empirical Mode Decomposition (EMD) applied in biomedical signals is investigated and especially it is considered the case of electrocardiogram (ECG). Synthetic ECG signals corrupted with White Gaussian Noise (WGN) as well as real ECG records are employed and a variety of time series lengths is processed with EMD in order to extract the Intrinsic Mode Functions (IMF). Computation time is measured upon the completion of the process in simulation campaign stage and real records stage and the results are compared in both cases. Spectral characteristics of the time series as well as the tendency to exhibit extrema are the key factors with significant impact on both computation time as well as the total number of IMFs produced.

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Authors and Affiliations

  1. Mobile RadioCommunications Lab, National Technical University of Athens, Iroon Polytechneiou 9, Athens, Greece

    Alexandros Karagiannis & Philip Constantinou

Authors
  1. Alexandros Karagiannis
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  2. Philip Constantinou
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Editors and Affiliations

  1. University of illinois at Chicago (M/C 154), 851 South Morgan Street, Suite 1020SEO, 60607-7053, Chicago, Illinois, USA

    James C. Lin

  2. Electrical and Computer Engineering Faculty, National Technical University of Athens, 9, Iroon Polytechniou, 15773, Athens, Greece

    Konstantina S. Nikita

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© 2011 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Karagiannis, A., Constantinou, P. (2011). Performance Investigation of Empirical Mode Decomposition in Biomedical Signals. In: Lin, J.C., Nikita, K.S. (eds) Wireless Mobile Communication and Healthcare. MobiHealth 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 55. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20865-2_16

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  • DOI: https://doi.org/10.1007/978-3-642-20865-2_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20866-9

  • Online ISBN: 978-3-642-20865-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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