Fractality in electrocardiographic waveforms for healthy subjects and patients with ventricular fibrillation

Eduardo Rodriguez, Juan C. Echeverria and Jose Alvarez-Ramirez

Chaos, Solitons & Fractals, 2009, vol. 39, issue 3, 1046-1054

Abstract: Detrending fluctuation analysis was used to look for fractality and to quantify time correlations in long-term (about 24h) electrocardiographic (ECG) waveforms for presumably healthy subjects and patients with ventricular fibrillation. Our results show that ECG intrabeat dynamics of healthy subject displays a type of non-correlated behavior, perhaps reflecting diverse conduction pathways or certain degree of adaptability to changing conditions. On the other hand, ECG dynamics for ventricular fibrillation condition shows behavior similar to 1/f noise, and even large peaks around Brownian motion during a ventricular fibrillation crisis. In this way, the scaling exponents estimated with DFA can be used to discriminate electrophysiological abnormalities, and to monitoring the onset of ventricular fibrillation crises.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:39:y:2009:i:3:p:1046-1054

DOI: 10.1016/j.chaos.2007.04.024

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