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The higher-order spectra as a tool for assessing the progress in rehabilitation of patients after ischemic brain stroke

  • Ewaryst Tkacz
  • , Zbigniew Budzianowski
  • , Wojciech Oleksy
  • Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

This article explores the possibility of using the higher-order spectra as a tool to determine the progress in rehabilitation of patients after ischemic brain stroke (IBS). In order to evaluate the effectiveness of this tool patients’ heart rate variability (HRV) recordings obtained at 1, 10 and 60 day after stroke are listed and compared to those recorded for healthy individuals. Each set of HRV signals is processed with bispectral and bicoherent analysis. In each case three statistical parameters are observed. The values of investigated parameters differ for healthy people and these affected by the IBS and the rehabilitation progress is visible based on the parameters changing their values towards these characteristic for healthy individuals. The obtained results show usefulness of higher-order spectra as a tool for assessment of the rehabilitation progress. Authors believe that further work would greatly improve potential of the described tool, allowing to increase its precision and expand the application field.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Information Technology and Systems, ICITS 2018
EditorsAlvaro Rocha, Teresa Guarda
PublisherSpringer Verlag
Pages874-882
Number of pages9
ISBN (Print)9783319734491
DOIs
Publication statusPublished - 2018
EventInternational Conference on Information Technology and Systems, ICITS18 - Libertad city, Ecuador
Duration: 11 Jan 2017 → 13 Jan 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume721
ISSN (Print)2194-5357

Conference

ConferenceInternational Conference on Information Technology and Systems, ICITS18
Country/TerritoryEcuador
CityLibertad city
Period11/01/17 → 13/01/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Heart rate variability
  • Higher-order statistics
  • Signal processing

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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