@inproceedings{e439da4ab91342cca0de9b133833f589,
title = "The higher-order spectra (HOSA) as a tool for the rehabilitation progress estimation referred to the patients diagnosed with various cardiac diseases",
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.",
keywords = "Heart rate variability, Higher-order statistics, Signal processing",
author = "Ewaryst Tkacz and Zbigniew Budzianowski and Wojciech Oleksy and Anna Tamulewicz",
note = "Publisher Copyright: {\textcopyright} 2019, Springer International Publishing AG, part of Springer Nature.; 6th International Conference on Information Technology in Biomedicine, ITIB 2018 ; Conference date: 18-06-2018 Through 20-06-2018",
year = "2019",
doi = "10.1007/978-3-319-91211-0\_27",
language = "English",
isbn = "9783319912103",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "303--314",
editor = "Ewa Pietka and Pawel Badura and Jacek Kawa and Wojciech Wieclawek",
booktitle = "Information Technology in Biomedicine - Proceedings 6th International Conference, ITIB{\textquoteright}2018",
address = "Germany",
}