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The Role of Nonlinear Heart Rate Variability in Health and...
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The Role of Nonlinear Heart Rate Variability in Health and Disease

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Entropy and Biology".

Deadline for manuscript submissions: closed (30 October 2021) | Viewed by 2879

Special Issue Editor

Dr. Vitor Engrácia Valenti

E-Mail Website
Guest Editor
Department of Speech and Hearing Pathology, Campus de Marília, Universidade Estadual Paulista, SP 05508-060, Brazil
Interests: autonomic nervous system; entropy; heart rate variability; nonlinear; chaotic behavior

Special Issue Information

The analysis of heart rate variability (HRV) involves non-invasive methods that estimate autonomic function via the evaluation of heart rhythm oscillation. Increased HRV is related to reduced risk of cardiovascular disease, including stroke, hypertension, and all-cause mortality. On the other hand, reduced HRV is linked to numerous disorders.

Mathematical approaches applied to HRV analysis help in understanding biological signals in human and animals. The complex behavior of HRV may be evaluated via nonlinear methods, including Shannon entropy, sample entropy, symbolic analysis, and detrended fluctuation analysis.

Nonlinear analysis of HRV has been associated with improved health. Moreover, several studies have investigated the association between changes in nonlinear HRV and metabolic, neurologic, respiratory, and gastrointestinal systems.

In light of these considerations, this Special Issue aims to invite experts in the area of nonlinear biological signaling to provide analyses of evidence toward evaluating the involvement of nonlinear HRV in health and disease.

Dr. Vitor Valenti
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • autonomic nervous system
  • cardiovascular physiology
  • heart rate variability
  • neurophysiology
  • vagus nerve
  • biological signaling
  • complexity
  • nonlinear
  • entropy
  • mathematical approach

Published Papers (1 paper)

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Research

14 pages, 849 KiB  
Article
The Value of Heart Rhythm Complexity in Identifying High-Risk Pulmonary Hypertension Patients
by Shu-Yu Tang, Hsi-Pin Ma, Chi-Sheng Hung, Ping-Hung Kuo, Chen Lin, Men-Tzung Lo, Hsao-Hsun Hsu, Yu-Wei Chiu, Cho-Kai Wu, Cheng-Hsuan Tsai, Yen-Tin Lin, Chung-Kang Peng and Yen-Hung Lin
Entropy 2021, 23(6), 753; https://doi.org/10.3390/e23060753 - 15 Jun 2021
Cited by 4 | Viewed by 2100
Abstract
Pulmonary hypertension (PH) is a fatal disease—even with state-of-the-art medical treatment. Non-invasive clinical tools for risk stratification are still lacking. The aim of this study was to investigate the clinical utility of heart rhythm complexity in risk stratification for PH patients. We prospectively [...] Read more.
Pulmonary hypertension (PH) is a fatal disease—even with state-of-the-art medical treatment. Non-invasive clinical tools for risk stratification are still lacking. The aim of this study was to investigate the clinical utility of heart rhythm complexity in risk stratification for PH patients. We prospectively enrolled 54 PH patients, including 20 high-risk patients (group A; defined as WHO functional class IV or class III with severely compromised hemodynamics), and 34 low-risk patients (group B). Both linear and non-linear heart rate variability (HRV) variables, including detrended fluctuation analysis (DFA) and multiscale entropy (MSE), were analyzed. In linear and non-linear HRV analysis, low frequency and high frequency ratio, DFAα1, MSE slope 5, scale 5, and area 6–20 were significantly lower in group A. Among all HRV variables, MSE scale 5 (AUC: 0.758) had the best predictive power to discriminate the two groups. In multivariable analysis, MSE scale 5 (p = 0.010) was the only significantly predictor of severe PH in all HRV variables. In conclusion, the patients with severe PH had worse heart rhythm complexity. MSE parameters, especially scale 5, can help to identify high-risk PH patients. Full article
(This article belongs to the Special Issue The Role of Nonlinear Heart Rate Variability in Health and Disease)
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