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The Higher-Order Spectra (HOSA) as a Tool for the Rehabilitation Progress Estimation Referred to the Patients Diagnosed with Various Cardiac Diseases

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Information Technology in Biomedicine (ITIB 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 762))

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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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Authors and Affiliations

  1. Faculty of Biomedical Engineering, Department of Biosensors and Biomedical SignalsProcessing, Silesian University of Technology, Roosevelta 40, 41-800, Zabrze, Poland

    Ewaryst Tkacz, Zbigniew Budzianowski, Wojciech Oleksy & Anna Tamulewicz

Authors
  1. Ewaryst Tkacz
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  2. Zbigniew Budzianowski
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  3. Wojciech Oleksy
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  4. Anna Tamulewicz
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Corresponding author

Correspondence to Ewaryst Tkacz .

Editor information

Editors and Affiliations

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

    Ewa Pietka

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

    Pawel Badura

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

    Jacek Kawa

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

    Wojciech Wieclawek

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Tkacz, E., Budzianowski, Z., Oleksy, W., Tamulewicz, A. (2019). The Higher-Order Spectra (HOSA) as a Tool for the Rehabilitation Progress Estimation Referred to the Patients Diagnosed with Various Cardiac Diseases. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2018. Advances in Intelligent Systems and Computing, vol 762. Springer, Cham. https://doi.org/10.1007/978-3-319-91211-0_27

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