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TKACZ, E. PROVAZNÍK, I. KOSTKA, P.
Original Title
Application of Advanced Spectral Analysis for Rehabilitation Progress Estimation Concerning Patients After Ischemic Brain Stroke
Type
journal article - other
Language
English
Original Abstract
Biomedical signals are in most cases highly complex and fortunately understandably nonlinear. It concerns i.e. firing of neurons, beating of the heart or breathing. These signals arise out of a multitude of interconnected elements comprising of the human body. Mentioned elements are bounded and the connections are rather weakly coupled across all elements. Signal propagation processes vary in time scales ranging from nanoseconds for molecular motion to gross observable behavior in term of days and years. This is in fact the reason why biomedical systems are highly nonstationary. The fundamental nature of the brains electrical activity remains unknown. Therefore a linear stochastic model of the brain as well as pure spectral analysis of its activity seems to appear nonsufficient as signals recorded are usually associated with some noise and artifacts, which in most cases highly contaminate obtained results of measurements and further analysis. In this paper we have ecided to present an indirect approach, less stress-causing for the individual patient and on the other hand much common and simpler in comparison to the electroencephalographic (EEG) recordings. This concerns application of Heart RateVariability (HRV) recording and analysis extracted from electrocardiographic (ECG) signals. Having created a suitable database with ECG recordings performed with the help of Holter method registration we started to apply a bit more sophisticated analysis such as calculation of bispectra and bicoherence.
Keywords
HRV, HOSA(Higher Order Spectral Analysis), Brain Stroke
Authors
TKACZ, E.; PROVAZNÍK, I.; KOSTKA, P.
RIV year
2014
Released
1. 3. 2014
ISBN
2010-3638
Periodical
International Journal of Bioscience, Biochemistry and Bioinformatics
Year of study
Number
4
State
Republic of Singapore
Pages from
82
Pages to
85
Pages count
BibTex
@article{BUT110403, author="Ewaryst {Tkacz} and Valentine {Provazník} and Paweł {Kostka}", title="Application of Advanced Spectral Analysis for Rehabilitation Progress Estimation Concerning Patients After Ischemic Brain Stroke", journal="International Journal of Bioscience, Biochemistry and Bioinformatics", year="2014", volume="2014", number="4", pages="82--85", doi="10.7763/IJBBB.2014.V4.315", issn="2010-3638" }