ArticleEntropy (Basel, Switzerland)2019
Multifractal Spectrum Curvature of RR Tachograms of Healthy People and Patients with Congestive Heart Failure, a New Tool to Assess Health Conditions.
Article in Entropy (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 15 citations in OpenAlex.
- Utility of nonlinear analysis of heart rate variability in early detection of metabolic syndrome.Frontiers in physiology · 2025Article
- Entropy-Based Multifractal Testing of Heart Rate Variability during Cognitive-Autonomic Interplay.Entropy (Basel, Switzerland) · 2023Article
- Multifractal Properties of Time Series of Synthetic Earthquakes Obtained from a Spring-Block Model.Entropy (Basel, Switzerland) · 2023Article
- Visibility Graph Analysis of Heartbeat Time Series: Comparison of Young vs. Old, Healthy vs. Diseased, Rest vs. Exercise, and Sedentary vs. Active.Entropy (Basel, Switzerland) · 2023Article
- Nonlinear Statistical Analysis of Normal and Pathological Infant Cry Signals in Cepstrum Domain by Multifractal Wavelet Leaders.Entropy (Basel, Switzerland) · 2022Article
- Entropy Analysis of RR-Time Series From Stress Tests.Frontiers in physiology · 2020Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
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Abstract
We calculate the multifractal spectra of heartbeat RR-interval time series (tachograms) of healthy subjects and patients with congestive heart failure (CHF). From these time series, we obtained new subseries of 6 h durations when healthy persons and patients were asleep and awake respectively. For each time series and subseries, we worked out the multifractal spectra with the Chhabra and Jensen method and found that their graphs have different shapes for CHF patients and healthy persons. We suggest to measure two parameters: the curvature around the maximum and the symmetry for all these multifractal spectra graphs, because these parameters were different for healthy and CHF subjects. Multifractal spectra of healthy subjects tend to be right skewed especially when the subjects are asleep and the curvature around the maximum is small compared with the curvature around the maximum of the CHF multifractal spectra; that is, the spectra of patients tend to be more pointed around the maximum. In CHF patients, we also have encountered differences in the curvature of the multifractal spectra depending on their respective New York Heart Association (NYHA) index.
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