Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.7
2.7
Journals
Entropy
Special Issues
Entropy Analysis of Heart Rate and Arterial Blood Pressure Variability...
entropy-logo
Submit to Entropy Review for Entropy Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Entropy Analysis of Heart Rate and Arterial Blood Pressure Variability and Their Applications

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

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 956

Special Issue Editors

Dr. Beatrice De Maria

E-Mail Website
Guest Editor
Istituti Clinici Scientifici Maugeri IRCCS, 20138 Milan, Italy
Interests: bioengineering; autonomic nervous system; heart rate variability; baroreflex; signal processing
Dr. Vlasta Bari

E-Mail Website
Guest Editor
Department of Biomedical Sciences for Health, University of Milan, Via Mangiagalli 31, 20133 Milan, MI, Italy
Interests: bioengineering; autonomic nervous system; heart rate variability; baroreflex

Special Issue Information

Dear Colleagues,

The analysis of the cardiovascular oscillations by means of heart rate and arterial blood pressure variability has a longstanding history. The easy recording of the involved signals and performance of the analysis have contributed to maintain and grow the overall interest in this topic. Through the years, several analytical methods have been proposed and optimized for a more precise characterization of the cardiovascular and autonomic control. The availability of robust entropy methods for the study of heart rate and arterial blood pressure variability is undiscussed.  

In the future, the real challenge will be to encourage and increase the translational approach in this field. The spread of wearable devices and the possibility to easily obtain cardiovascular data in both laboratory and free-living conditions, together with a broad technological advancement, should facilitate this process.

This Special Issue is focused on clinical and non-clinical applications of entropy analytical methods for the study of the heart rate and blood pressure variability, to deepen the pathophysiology of diseases and physiological variations.

Original observational studies, randomized controlled trials and protocols, and systematic reviews are welcome.

Dr. Beatrice De Maria
Dr. Vlasta Bari
Guest Editors

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

  • heart rate variability
  • arterial blood pressure variability
  • autonomic nervous system
  • cardiovascular control
  • complexity
  • entropy
  • patients
  • clinic
  • physiology

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

14 pages, 4396 KiB  
Article
pRR30, pRR3.25% and Asymmetrical Entropy Descriptors in Atrial Fibrillation Detection
by Bartosz Biczuk, Szymon Buś, Sebastian Żurek, Jarosław Piskorski and Przemysław Guzik
Entropy 2024, 26(4), 296; https://0-doi-org.brum.beds.ac.uk/10.3390/e26040296 - 28 Mar 2024
Viewed by 530
Abstract
Background: Early detection of atrial fibrillation (AF) is essential to prevent stroke and other cardiac and embolic complications. We compared the diagnostic properties for AF detection of the percentage of successive RR interval differences greater than or equal to 30 ms or 3.25% [...] Read more.
Background: Early detection of atrial fibrillation (AF) is essential to prevent stroke and other cardiac and embolic complications. We compared the diagnostic properties for AF detection of the percentage of successive RR interval differences greater than or equal to 30 ms or 3.25% of the previous RR interval (pRR30 and pRR3.25%, respectively), and asymmetric entropy descriptors of RR intervals. Previously, both pRR30 and pRR3.25% outperformed many other heart rate variability (HRV) parameters in distinguishing AF from sinus rhythm (SR) in 60 s electrocardiograms (ECGs). Methods: The 60 s segments with RR intervals were extracted from the publicly available Physionet Long-Term Atrial Fibrillation Database (84 recording, 24 h Holter ECG). There were 31,753 60 s segments of AF and 32,073 60 s segments of SR. The diagnostic properties of all parameters were analysed with receiver operator curve analysis, a confusion matrix and logistic regression. The best model with pRR30, pRR3.25% and total entropic features (H) had the largest area under the curve (AUC)—0.98 compared to 0.959 for pRR30—and 0.972 for pRR3.25%. However, the differences in AUC between pRR30 and pRR3.25% alone and the combined model were negligible from a practical point of view. Moreover, combining pRR30 and pRR3.25% with H significantly increased the number of false-negative cases by more than threefold. Conclusions: Asymmetric entropy has some potential in differentiating AF from SR in the 60 s RR interval time series, but the addition of these parameters does not seem to make a relevant difference compared to pRR30 and especially pRR3.25%. Full article
(This article belongs to the Special Issue Entropy Analysis of Heart Rate and Arterial Blood Pressure Variability and Their Applications)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop