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

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

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.

Suggested Citation

  • Rodriguez, Eduardo & Echeverria, Juan C. & Alvarez-Ramirez, Jose, 2009. "Fractality in electrocardiographic waveforms for healthy subjects and patients with ventricular fibrillation," Chaos, Solitons & Fractals, Elsevier, vol. 39(3), pages 1046-1054.
    • Handle: RePEc:eee:chsofr:v:39:y:2009:i:3:p:1046-1054
    DOI: 10.1016/j.chaos.2007.04.024
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    1. Havlin, S & Amaral, L.A.N & Ashkenazy, Y & Goldberger, A.L & Ivanov, P.Ch & Peng, C.-K & Stanley, H.E, 1999. "Application of statistical physics to heartbeat diagnosis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 274(1), pages 99-110.
    2. Plamen Ch. Ivanov & Luís A. Nunes Amaral & Ary L. Goldberger & Shlomo Havlin & Michael G. Rosenblum & Zbigniew R. Struzik & H. Eugene Stanley, 1999. "Multifractality in human heartbeat dynamics," Nature, Nature, vol. 399(6735), pages 461-465, June.
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