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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
PhysioNet. http://physionet.org/. Accessed 5 Mar 2015
Swami, A., Mendel, J., Chrysostomos, L.: Higher-Order Spectral Analysis Toolbox: For Use with MATLAB. The MathWorks, Inc. (1993)
Goshvarpour, A., et al.: Comparison of higher order spectra in heart rate signals during two techniques of meditation: Chi and Kundalini meditation. Cogn. Neurodyn. 7(1), 39–46 (2013)
Chua, C.: Analysis of cardiac and epileptic signals using higher order spectra, Praca doktorska. Queensland University of Technology, Queensland (2010)
Krauze, T., Guzik, P., Wysocki, H.: Zmienność rytmu serca: aspekty techniczne. Nowiny Lekarskie 9(70), 973–984 (2001)
Mazur, P., Pfitzner, R., Matusik, P.: Analiza parametrów częstotliwościowych zmienności rytmu serca po pomostowaniu aortalno-wieńcowym. Folia Cardiologica 6(1), 76–81 (2011)
Kłopocka, M., Budzyński, J., Bujak, R., Świątkowski, M., Sinkiewicz, W., Ziółkowski, M.: Dobowa zmienność rytmu zatokowego serca jako wskaźnik aktywności autonomicznego układu nerwowego u mężczyzn z zespołem zależności alkoholowej w okresie abstynencji. Alkoholizm i Narkomania 13(4), 491–501 (2000)
Jouny, I., Moses, R.: The bispectrum of complex signals: definitions and properties. IEEE Trans. Signal Process. 40(11), 2833–2836 (1992)
Saliu, S., Birand, A., Kudaiberdieva, G.: Bispectral Analysis of Heart Rate Variability Signal (2002)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
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. In: Rocha, Á., Guarda, T. (eds) Proceedings of the International Conference on Information Technology & Systems (ICITS 2018). ICITS 2018. Advances in Intelligent Systems and Computing, vol 721. Springer, Cham. https://doi.org/10.1007/978-3-319-73450-7_83
Download citation
DOI: https://doi.org/10.1007/978-3-319-73450-7_83
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-73449-1
Online ISBN: 978-3-319-73450-7
eBook Packages: EngineeringEngineering (R0)