Entropy Analysis of Electrophysiological Signals
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Signal and Data Analysis".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 67
Special Issue Editor
Interests: signal processing and analysis; EEG connectivity; nonlinear dynamics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent decades, entropy-based analyses have emerged as powerful tool for quantifying the complexity, regularity, and information content of complex biological signals, such as electroencephalography (EEG), electrocardiography (ECG), and electromyography (EMG).
Signal processing methods based on information theory and statistical mechanics, such as Approximate Entropy, Sample Entropy, Multiscale Entropy, and others, have been increasingly employed for studying the complex nonlinear dynamics of electrophysiological signals under both healthy and pathological conditions, as well as the effects of their modulation by pharmacological, psychological, or non-invasive stimulation treatments.
Traditional linear methods, while valuable, are often limited in their ability to capture subtle or multi-scale dynamical changes. Entropy-based measures, in contrast, provide approaches that allow us to characterize these signals across different scales and conditions. By assessing entropy across different temporal and spatial scales, these techniques provide insights into neural dynamics, autonomic regulation, and disease progression, contributing to more accurate diagnostics and personalized interventions.
This Special Issue aims to bring together cutting-edge research and methodological developments focused on the entropy analysis of electrophysiological signals, including theoretical advances, algorithmic improvements, and applied studies utilizing entropy-based tools to better understand the structure and function of neural, muscular, or cardiac systems.
Topics of interest include, but are not limited to, the following:
- Novel entropy measures and complexity metrics for biomedical signal analysis;
- Multiscale and multivariate entropy approaches;
- Applications in cognitive neuroscience, cardiology, neurology, and sleep research;
- Entropy-based methods in brain–computer interfaces and wearable health monitoring;
- Challenges in signal preprocessing, parameter selection, and real-time implementation;
- Comparative studies using traditional or machine learning-based approaches.
Dr. Elzbieta Olejarczyk
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
- entropy
- approximate entropy
- sample entropy
- multiscale entropy
- multivariate entropy
- biomedical signal analysis
- electrophysiological signals
- electroencephalography (EEG)
- electrocardiography (ECG)
- electromyography (EMG)
- complexity
- information theory
- nonlinear dynamics
- neural system
- neural dynamics
- cognitive neuroscience
- sleep research
- brain–computer interface
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
