Complexity analysis of electrocardiographic signals.

Abstract:

:Two types of electrocardiographic data series were investigated using appropriate tests based on a selection of semi-quantitative analysis algorithms. Distribution histograms, power spectra, auto-correlation functions, state-space portraits, Lyapunov exponents and wavelet transformations were applied to electrocardiograms of normal and stressed subjects. Statistical analysis using the Student's t-test revealed significant and non-significant alterations in stress-loaded cases compared to normal ones. Higher levels of adrenaline may account for a more complex dynamics (deterministic chaos) revealed in the stressed subjects.

journal_name

Gen Physiol Biophys

authors

Neacsu I,Creanga DE,Tufescu FM

subject

Has Abstract

pub_date

2006-06-01 00:00:00

pages

161-76

issue

2

eissn

0231-5882

issn

1338-4325

journal_volume

25

pub_type

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