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Decrease of cardiac chaos in congestive heart failure

Author

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  • Chi-Sang Poon

    (Massachusetts Institute of Technology)

  • Christopher K. Merrill

    (Massachusetts Institute of Technology)

Abstract

The electrical properties of the mammalian heart undergo many complex transitions in normal and diseased states1,2,3,4,5,6,7. It has been proposed that the normal heartbeat may display complex nonlinear dynamics, including deterministic chaos8,9, and that such cardiac chaos may be a useful physiological marker for the diagnosis10,11,12 and management13,14 of certain heart trouble. However, it is not clear whether the heartbeat series of healthy and diseased hearts are chaotic or stochastic15,16,17, or whether cardiac chaos represents normal or abnormal behaviour18. Here we have used a highly sensitive technique, which is robust to random noise, to detect chaos19. We analysed the electrocardiograms from a group of healthy subjects and those with severe congestive heart failure (CHF), a clinical condition associated with a high risk of sudden death. The short-term variations of beat-to-beat interval exhibited strongly and consistently chaotic behaviour in all healthy subjects, but were frequently interrupted by periods of seemingly non-chaotic fluctuations in patients with CHF. Chaotic dynamics in the CHF data, even when discernible, exhibited a high degree of random variability over time, suggesting a weaker form of chaos. These findings suggest that cardiac chaos is prevalent in healthy heart, and a decrease in such chaos may be indicative of CHF.

Suggested Citation

  • Chi-Sang Poon & Christopher K. Merrill, 1997. "Decrease of cardiac chaos in congestive heart failure," Nature, Nature, vol. 389(6650), pages 492-495, October.
    • Handle: RePEc:nat:nature:v:389:y:1997:i:6650:d:10.1038_39043
    DOI: 10.1038/39043
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    Cited by:

    1. Zhang, Yu & Sprecher, Alicia J. & Zhao, ZongXi & Jiang, Jack J., 2011. "Nonlinear detection of disordered voice productions from short time series based on a Volterra–Wiener–Korenberg model," Chaos, Solitons & Fractals, Elsevier, vol. 44(9), pages 751-758.
    2. Sviridova, Nina & Sakai, Kenshi, 2015. "Human photoplethysmogram: new insight into chaotic characteristics," Chaos, Solitons & Fractals, Elsevier, vol. 77(C), pages 53-63.
    3. Gaetano Valenza & Luca Citi & Riccardo Barbieri, 2014. "Estimation of Instantaneous Complex Dynamics through Lyapunov Exponents: A Study on Heartbeat Dynamics," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-17, August.
    4. Mukherjee, Sayan & Banerjee, Santo & Rondoni, Lamberto, 2018. "Dispersive graded entropy on computing dynamical complexity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 131-140.
    5. Lei, Min & Meng, Guang & Feng, Zhengjin, 2006. "Security analysis of chaotic communication systems based on Volterra–Wiener–Korenberg model," Chaos, Solitons & Fractals, Elsevier, vol. 28(1), pages 264-270.
    6. Yan, Bo & Palit, Sanjay K. & Mukherjee, Sayan & Banerjee, Santo, 2019. "Signature of complexity in time–frequency domain," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    7. Saul Hazledine & Jongho Sun & Derin Wysham & J Allan Downie & Giles E D Oldroyd & Richard J Morris, 2009. "Nonlinear Time Series Analysis of Nodulation Factor Induced Calcium Oscillations: Evidence for Deterministic Chaos?," PLOS ONE, Public Library of Science, vol. 4(8), pages 1-10, August.
    8. Thuraisingham, Ranjit A. & Gottwald, Georg A., 2006. "On multiscale entropy analysis for physiological data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 366(C), pages 323-332.
    9. Bhaduri, Anirban & Bhaduri, Susmita & Ghosh, Dipak, 2017. "Visibility graph analysis of heart rate time series and bio-marker of congestive heart failure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 786-795.
    10. Kadji, H.G. Enjieu & Orou, J.B. Chabi & Yamapi, R. & Woafo, P., 2007. "Nonlinear dynamics and strange attractors in the biological system," Chaos, Solitons & Fractals, Elsevier, vol. 32(2), pages 862-882.
    11. Maurizio Manera, 2021. "Perspectives on Complexity, Chaos and Thermodynamics in Environmental Pathology," IJERPH, MDPI, vol. 18(11), pages 1-11, May.

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