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QRS Complex Detection Based on Ensemble Empirical Mode Decomposition

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Innovations in Biomedical Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 526))

Abstract

The principal objective of this project was to investigate the detection of QRS complexes in noisy ECG signals. This study provides a novel approach to the construction of a QRS detector based on the Ensemble Empirical Mode Decomposition. The detection function is based on predicted probability that the current signal sample is a QRS fiducial point. The performances of the proposed method were verified on the MIT-BIH Arrhythmia Database. Results showed that this approach improves the QRS detection accuracy.

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Acknowledgements

This scientific research work is supported by The National Centre for Research and Development of Poland (grant No. STRATEGMED2/269343/NCBR/2016).

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Authors and Affiliations

  1. Institute of Medical Technology and Equipment ITAM, Roosevelt’a 118, 41–800, Zabrze, Poland

    Norbert Henzel

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  1. Norbert Henzel
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Correspondence to Norbert Henzel .

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Editors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Marek Gzik

  2. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Ewaryst Tkacz

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Zbigniew Paszenda

  4. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Ewa Piętka

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Henzel, N. (2017). QRS Complex Detection Based on Ensemble Empirical Mode Decomposition. In: Gzik, M., Tkacz, E., Paszenda, Z., Piętka, E. (eds) Innovations in Biomedical Engineering. Advances in Intelligent Systems and Computing, vol 526. Springer, Cham. https://doi.org/10.1007/978-3-319-47154-9_33

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  • DOI: https://doi.org/10.1007/978-3-319-47154-9_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47153-2

  • Online ISBN: 978-3-319-47154-9

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