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The chaotic characteristics detection based on multifractal detrended fluctuation analysis of the elderly 12-lead ECG signals

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  • Jiao, Dezhao
  • Wang, Zikuan
  • Li, Jin
  • Feng, Feilong
  • Hou, Fengzhen

Abstract

ECG analysis is an important method of heart disease diagnosis. During the diagnostic process,many signal characteristics are hidden in the 12-lead ECG. To research these characteristics and improve diagnostic efficiency, it is very urgent to study the 12-lead ECG signal. In this paper, we used multifractal detrended fluctuation analysis(MFDFA) method to detect chaotic characteristics of three sets of signals, which is generated from Myocardial Infarction(MI) state, Arrhythmia state and healthy state. Calculating and analyzing the Hurst exponent, the mass exponent and the multifractal spectrum, we found that the three kinds of signals have different long-range correlation and multifractal characteristics. The result shows that the method could robustly identify patterns generated from the healthy and pathologic state. These results will assist in the intensive study of cardiac signals, guide the analysis of physiological states and provide a reference for clinical diagnosis and treatment.

Suggested Citation

  • Jiao, Dezhao & Wang, Zikuan & Li, Jin & Feng, Feilong & Hou, Fengzhen, 2020. "The chaotic characteristics detection based on multifractal detrended fluctuation analysis of the elderly 12-lead ECG signals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    • Handle: RePEc:eee:phsmap:v:540:y:2020:i:c:s0378437119318163
    DOI: 10.1016/j.physa.2019.123234
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    References listed on IDEAS

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    1. Li, Jin & Chen, Chen & Yao, Qin & Zhang, Peng & Wang, Jun & Hu, Jing & Feng, Feilong, 2018. "The effect of circadian rhythm on the correlation and multifractality of heart rate signals during exercise," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 1207-1213.
    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.
    3. Ivanov, Plamen Ch. & Chen, Zhi & Hu, Kun & Eugene Stanley, H., 2004. "Multiscale aspects of cardiac control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(3), pages 685-704.
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