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Updated: Aug 6, 2026

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
Published on: May 23, 2021
Complexity analysis of electrocardiographic signals
I Neacsu1, D E Creanga, F M Tufescu
1University Al I Cuza, Faculty of Biology, 20A Bd. Carol I, Iasi, Romania. ineacsu@uaic.ro
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.
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