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A Novel Hybrid Electrocardiogram Signal Compression Algorithm with Low Bit-Rate

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Computer and Information Sciences

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 62))

Abstract

In this paper, a novel hybrid Electrocardiogram (ECG) signal compression algorithm based on the generation process of the Variable-Length Classified Signature and Envelope Vector Sets (VL-CSEVS) is proposed. Assessment results reveal that the proposed algorithm achieves high compression ratios with low level reconstruction error while preserving diagnostic information in the reconstructed ECG signal. The proposed algorithm also slightly outperforms others for the same test dataset.

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References

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Author information

Authors and Affiliations

  1. Engineering Faculty, Electronics Eng. Dept., Isik University, Istanbul, Turkey

    Hakan Gürkan & Umit Guz

  2. College of Engineering, Elect.-Electronics Eng. Dept., Istanbul University, Istanbul, Turkey

    B. Siddik Yarman

Authors
  1. Hakan Gürkan
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  2. Umit Guz
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  3. B. Siddik Yarman
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Corresponding author

Correspondence to Hakan Gürkan .

Editor information

Editors and Affiliations

  1. , EEE Dept., Imperial College, Exhibition Road, London, SW72BT, United Kingdom

    Erol Gelenbe

  2. , EEE Dept., Imperial College, Exhibition Rd., London, SW72AZ, United Kingdom

    Ricardo Lent

  3. , EEE Dept., Imperial College, Exhibition Rd., London, SW72AZ, United Kingdom

    Georgia Sakellari

  4. , School of Biomedical Eng., Sci. and Heal, Drexel University, Bossone 702, 3120 Market Street, Philadelphia, 19104, Pennsylvania, USA

    Ahmet Sacan

  5. , Dept. of Computer Engineering, Middle East Technical University, Ankara, 06531, Turkey

    Hakki Toroslu

  6. Fac. Engineering, Dept. Computer Engineering, Middle East Technical University - METU, Ankara, 06531, Turkey

    Adnan Yazici

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© 2011 Springer Science+Business Media B.V.

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Gürkan, H., Guz, U., Yarman, B.S. (2011). A Novel Hybrid Electrocardiogram Signal Compression Algorithm with Low Bit-Rate. In: Gelenbe, E., Lent, R., Sakellari, G., Sacan, A., Toroslu, H., Yazici, A. (eds) Computer and Information Sciences. Lecture Notes in Electrical Engineering, vol 62. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9794-1_19

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  • DOI: https://doi.org/10.1007/978-90-481-9794-1_19

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-9793-4

  • Online ISBN: 978-90-481-9794-1

  • eBook Packages: EngineeringEngineering (R0)

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