Scale invariance analysis of the premature ECG signals

Jun Wang and Keqiang Cheng

Physica A: Statistical Mechanics and its Applications, 2012, vol. 391, issue 11, 3227-3233

Abstract: The multifractal detrended fluctuation analysis and detrending moving average algorithm were introduced in detail and applied to the study of the multifractal characteristics of the normal signals, the atrial premature beat (APB) signals and the premature ventricular contraction (PVC) signals. By analyzing the generalized Hurst exponents, Renyi exponents and multifractal spectrum and comparing the relation of h∼h(q) for original signals and their shuffled time series, the result indicated that the three signals have multifractality and present long-range correlation in a certain range. According to the mean value of Δα, we found that the strength of the multifractality is varying. The PVC signals is the strongest, and the Normal signals is the weakest. It is useful for clinical practice of medicine to distinguish APB signals with PVC signals.

Keywords: Premature signal; Multifractality; Detrended fluctuation analysis; Detrending moving average; Long range correlation (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:391:y:2012:i:11:p:3227-3233

DOI: 10.1016/j.physa.2012.01.019

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