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The higher-order spectra as a tool for the identification of patients diagnosed with various cardiac diseases

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Innovations in Biomedical Engineering (IBE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 623 ))

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Abstract

This article explores the possibility of using the higher-order spectra to identify different types of diseases. In order to assess the effectiveness of such tool the HRV (Heart Rate Variability) recordings obtained from patients suffering from three different cardiac problems are listed and compared to the results recorded for healthy subjects. Each set of HRV signals is processed with bispectral and bicoherent analysis. In both cases three statistical parameters are observed. For each type of the investigated analysis the parameters under examination differ enough to allow clear distinction of the specific cardiac disease. The obtained results show usefulness of higher-order spectra as a tool for differentiation between specific diseases. Authors believe that further work would greatly improve potential of the described tool, allowing to identify number of different diseases or even stage of the illness or progress in the rehabilitation process.

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Author information

Authors and Affiliations

  1. Silesian University of Technology, 41-800, Zabrze, Poland

    Zbigniew Budzianowski, Ewaryst Tkacz, Wojciech Oleksy & Małgorzata Garbacik

Authors
  1. Zbigniew Budzianowski
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  2. Ewaryst Tkacz
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  3. Wojciech Oleksy
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  4. Małgorzata Garbacik
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Corresponding author

Correspondence to Zbigniew Budzianowski .

Editor information

Editors and Affiliations

  1. Department of Biomechatronics, Silesian University of Technology, Faculty of Biomedical Engineering, Zabrze, Poland

    Marek Gzik

  2. Department of Biosensors and Biomedical Signals Processing, Silesian University of Technology, Faculty of Biomedical Engineering, Zabrze, Poland

    Ewaryst Tkacz

  3. Department of Biomaterials and Medical Devices Engineering, Silesian University of Technology, Faculty of Biomedical Engineering, Zabrze, Poland

    Zbigniew Paszenda

  4. Dept. of Informatics and Medical Equipment, Silesian University of Technology, Faculty of Biomedical Engineering, Zabrze, Poland

    Ewa Piętka

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Budzianowski, Z., Tkacz, E., Oleksy, W., Garbacik, M. (2018). The higher-order spectra as a tool for the identification of patients diagnosed with various cardiac diseases. In: Gzik, M., Tkacz, E., Paszenda, Z., Piętka, E. (eds) Innovations in Biomedical Engineering . IBE 2017. Advances in Intelligent Systems and Computing, vol 623 . Springer, Cham. https://doi.org/10.1007/978-3-319-70063-2_21

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  • DOI: https://doi.org/10.1007/978-3-319-70063-2_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70062-5

  • Online ISBN: 978-3-319-70063-2

  • eBook Packages: EngineeringEngineering (R0)

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