Entropy and Nonlinear Signal Processing in Cardiovascular Applications
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Signal and Data Analysis".
Deadline for manuscript submissions: closed (22 November 2024) | Viewed by 5094
Special Issue Editors
Interests: biomedical signal processing; nonlinear signal processing; cardiovascular signals; atrial arrythmias; wearables
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Cardiovascular diseases are the leading cause of death, accounting for more than 30% of all global deaths according to the World Health Organization. Screening for cardiovascular disease risk factors as well as cardiac arrhythmia is important so that management with counselling and medicines can begin as early as possible. Technological advances in the acquisition and processing of physiological signals have continued to foster clinically efficient decisions regarding the initiation of diagnostic steps, drug therapy, and invasive strategies.
Measures of nonlinearity and complexity, such as fractal dimension, recurrence plot analysis, detrended fluctuation analysis, or entropy (conditional, approximate, sample, or multiscale entropy) have been increasingly employed to characterize the dynamics of the cardiovascular system.
The aim of this Special Issue is to cover recent developments and novel research trends in the cardiovascular field on topics related to the application of entropies and/or nonlinear methods to information and recordings from the cardiovascular system. We encourage contributions that clarify the benefit of these concepts in understanding or predicting cardiovascular behavior and getting novel mechanistic insights into cardiac diseases. Comprehensive reviews addressing different perspectives of entropy and nonlinear dynamics in cardiovascular applications are also welcome.
Prof. Dr. José J. Rieta
Dr. Adrian Luca
Guest Editors
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Keywords
- entropy
- nonlinear dynamics
- recurrence plots
- heart rate variability
- photoplethysmography
- cardiovascular signals
- cardiac arrhythmia detection
- applications to cardiovascular
- atrial arrhythmias
- atrial fibrillation
- catheter ablation
- electrocardiogram
- electrogram
- signal processing
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