Nonlinear time series analysis of the human electrocardiogram

Abstract

We analyse the human electrocardiogram with simple nonlinear time series analysis methods that are appropriate for graduate as well as undergraduate courses. In particular, attention is devoted to the notions of determinism and stationarity in physiological data. We emphasize that methods of nonlinear time series analysis can be successfully applied only if the studied data set originates from a deterministic stationary system. After positively establishing the presence of determinism and stationarity in the studied electrocardiogram, we calculate the maximal Lyapunov exponent, thus providing interesting insights into the dynamics of the human heart. Moreover, to facilitate interest and enable the integration of nonlinear time series analysis methods into the curriculum at an early stage of the educational process, we also provide user-friendly programs for each implemented method.

Keywords

dinamični sistemi;kaotični sistemi;nelinearna dinamika;nelinearna analiza;elektrokardiogram;ne zaključna dela;dynamic systems;chaotic systems;nonlinear dynamics;electrocardiogram;human electrocardiogram;nonlinear analyses;

Data

Language:	English
Year of publishing:	2005
Typology:	1.01 - Original Scientific Article
Organization:	UM PEF - Faculty of Education
UDC:	531.3
COBISS:	14505992
ISSN:	0143-0807
Views:	2345
Downloads:	96
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Slovenian
Secondary keywords:	dinamični sistemi;kaotični sistemi;nelinearna dinamika;nelinearna analiza;elektrokardiogram;
URN:	URN:SI:UM:
Type (COBISS):	Article
Pages:	str. 757-768
Volume:	ǂVol. ǂ26
Issue:	ǂno. ǂ5
Chronology:	2005
DOI:	10.1088/0143-0807/26/5/008
ID:	8724267