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

  • Zbigniew BudzianowskiEmail author
  • Ewaryst Tkacz
  • Wojciech Oleksy
  • Małgorzata Garbacik
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 623)


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.


Heart rate variability higher-order statistics signal processing 


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Zbigniew Budzianowski
    • 1
    Email author
  • Ewaryst Tkacz
    • 1
  • Wojciech Oleksy
    • 1
  • Małgorzata Garbacik
    • 1
  1. 1.Silesian University of TechnologyZabrzePoland

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