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

doi:10.1007/978-3-319-73450-7_83

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

Katedra Informatyki Medycznej i Sztucznej Inteligencji (RIB/RIB1)

Silesian University of Technology

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

3 Cytowania z bazy Scopus

Abstrakt

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.

Język oryginału	angielski
Tytuł publikacji goszczącej	Proceedings of the International Conference on Information Technology and Systems, ICITS 2018
Redaktorzy	Alvaro Rocha, Teresa Guarda
Wydawca	Springer Verlag
Strony	874-882
Liczba stron	9
ISBN (drukowany)	9783319734491
Identyfikatory DOI	https://doi.org/10.1007/978-3-319-73450-7_83
Status publikacji	Opublikowano - 2018
Wydarzenie	International Conference on Information Technology and Systems, ICITS18 - Libertad city, Ekwador Czas trwania: 11 sty 2017 → 13 sty 2017

Seria publikacji

Nazwa	Advances in Intelligent Systems and Computing
Tom	721
ISSN (drukowany)	2194-5357

Konferencja

Konferencja	International Conference on Information Technology and Systems, ICITS18
Kraj/Terytorium	Ekwador
Miejscowość	Libertad city
Okres	11/01/17 → 13/01/17

Cele SDG ONZ

Ten wynik przyczynia się do realizacji następujących celów zrównoważonego rozwoju

Cel 3 Dobre zdrowie i dobre samopoczucie

Obszary tematyczne ASJC Scopus

Inżynieria sterowania i systemów
Informatyka ogólna

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10.1007/978-3-319-73450-7_83

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Link do publikacji w Scopus

Cytowanie

Tkacz, E., Budzianowski, Z., & Oleksy, W. (2018). The higher-order spectra as a tool for assessing the progress in rehabilitation of patients after ischemic brain stroke. W A. Rocha, & T. Guarda (Red.), Proceedings of the International Conference on Information Technology and Systems, ICITS 2018 (str. 874-882). (Advances in Intelligent Systems and Computing; Tom 721). Springer Verlag. https://doi.org/10.1007/978-3-319-73450-7_83

Tkacz, Ewaryst ; Budzianowski, Zbigniew ; Oleksy, Wojciech. / The higher-order spectra as a tool for assessing the progress in rehabilitation of patients after ischemic brain stroke. Proceedings of the International Conference on Information Technology and Systems, ICITS 2018. redaktor / Alvaro Rocha ; Teresa Guarda. Springer Verlag, 2018. str. 874-882 (Advances in Intelligent Systems and Computing).

@inproceedings{2a8721ed21584c7c90acf608fafbe12e,

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

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{\textquoteright} 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.",

keywords = "Heart rate variability, Higher-order statistics, Signal processing",

author = "Ewaryst Tkacz and Zbigniew Budzianowski and Wojciech Oleksy",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2018.; International Conference on Information Technology and Systems, ICITS18 ; Conference date: 11-01-2017 Through 13-01-2017",

year = "2018",

doi = "10.1007/978-3-319-73450-7\_83",

language = "English",

isbn = "9783319734491",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "874--882",

editor = "Alvaro Rocha and Teresa Guarda",

booktitle = "Proceedings of the International Conference on Information Technology and Systems, ICITS 2018",

address = "Germany",

}

Tkacz, E, Budzianowski, Z & Oleksy, W 2018, The higher-order spectra as a tool for assessing the progress in rehabilitation of patients after ischemic brain stroke. w A Rocha & T Guarda (red), Proceedings of the International Conference on Information Technology and Systems, ICITS 2018. Advances in Intelligent Systems and Computing, tom 721, Springer Verlag, str. 874-882, International Conference on Information Technology and Systems, ICITS18, Libertad city, Ekwador, 11/01/17. https://doi.org/10.1007/978-3-319-73450-7_83

The higher-order spectra as a tool for assessing the progress in rehabilitation of patients after ischemic brain stroke. / Tkacz, Ewaryst; Budzianowski, Zbigniew; Oleksy, Wojciech.
Proceedings of the International Conference on Information Technology and Systems, ICITS 2018. red. / Alvaro Rocha; Teresa Guarda. Springer Verlag, 2018. str. 874-882 (Advances in Intelligent Systems and Computing; Tom 721).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

TY - GEN

T1 - The higher-order spectra as a tool for assessing the progress in rehabilitation of patients after ischemic brain stroke

AU - Tkacz, Ewaryst

AU - Budzianowski, Zbigniew

AU - Oleksy, Wojciech

N1 - Publisher Copyright: © Springer International Publishing AG 2018.

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Heart rate variability

KW - Higher-order statistics

KW - Signal processing

UR - https://www.scopus.com/pages/publications/85041074419

U2 - 10.1007/978-3-319-73450-7_83

DO - 10.1007/978-3-319-73450-7_83

M3 - Conference contribution

AN - SCOPUS:85041074419

SN - 9783319734491

T3 - Advances in Intelligent Systems and Computing

SP - 874

EP - 882

BT - Proceedings of the International Conference on Information Technology and Systems, ICITS 2018

A2 - Rocha, Alvaro

A2 - Guarda, Teresa

PB - Springer Verlag

T2 - International Conference on Information Technology and Systems, ICITS18

Y2 - 11 January 2017 through 13 January 2017

ER -

Tkacz E, Budzianowski Z, Oleksy W. The higher-order spectra as a tool for assessing the progress in rehabilitation of patients after ischemic brain stroke. W Rocha A, Guarda T, redaktorzy, Proceedings of the International Conference on Information Technology and Systems, ICITS 2018. Springer Verlag. 2018. str. 874-882. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-73450-7_83

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

Abstrakt

Seria publikacji

Konferencja

Cele SDG ONZ

Obszary tematyczne ASJC Scopus

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