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Entropy Methods for Physiological Signal Analysis

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

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 229

Special Issue Editor


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Guest Editor
Department of Electrical Engineering, National Dong-Hwa University, Hualien 97401, Taiwan
Interests: medical data analysis; multiscale entropy; photoplethysmograph applications; diabetes and prognostic indicators
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce the forthcoming Special Issue of the Entropy journal that is dedicated to the exploration of Entropy Methods for Physiological Signal Analysis. As Guest Editor, I am excited to invite researchers and experts in the field to contribute their valuable insights and research findings to this exceptional issue.

Physiological signals, encompassing a wide range of measurements from the human body, help us understand various aspects of health and well-being. The use of entropy methods in analyzing physiological signals has emerged as a powerful tool for uncovering hidden patterns, quantifying information, and enhancing our understanding of complex physiological processes.

This Special Issue aims to gather cutting-edge research and innovative applications of entropy-based approaches in physiological signal analysis. We invite original research articles, review papers, and contributions that explore the utilization of entropy measures in diverse physiological signal domains, including (but not limited to) EEG, ECG, EMG, fNIRS, and more.

Join us in helping to advance the field of physiological signal analysis by submitting your high-quality research to this Special Issue. We look forward to a collection of articles that will deepen our understanding of physiological phenomena and contribute to improved healthcare and diagnostics.

Prof. Dr. Hsien-Tsai Wu
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

  • physiological signal analysis
  • entropy methods
  • information theory
  • EEG (electroencephalography)
  • ECG (electrocardiography)
  • EMG (electromyography)
  • fNIRS (functional near-infrared spectroscopy)
  • signal complexity
  • biomarker discovery
  • health monitoring
  • disease diagnosis
  • feature extraction
  • time series analysis
  • machine learning in physiology

Published Papers

There is no accepted submissions to this special issue at this moment.
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