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Entropy Application in Biomechanics and Biosignal Processing

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

Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 143

Special Issue Editor


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Guest Editor
Bioengineering and Biomechanics Laboratory, Federal University of Goiás, Goiania 74690-900, Brazil
Interests: computational neuroscience; biomechanics; biomedical signal processing

Special Issue Information

Dear Colleagues,

Signals originated from human movement and other physiological processes have a temporal structure that can be revealed by features extracted based on nonlinear dynamical systems theory. In such a category of features, we can highlight the entropy that reveals, in only one dimension, the regularity/predictability of a signal and, hence, some temporal characteristics of the system that originate such a signal. Several algorithms have been proposed to extract entropy from a signal, some of them focusing on how to consider the threshold for finding similar patterns in the signal, others focusing on how to estimate the complexity of the system using a multiscale approach. Furthermore, we have faced several methodological difficulties in extracting entropy from a signal, either to obtain more reliable results or to make the results obtained in different studies more comparable.

Therefore, the main objective of this Special Issue will be to reunite studies that focus on investigating entropy application in biomechanics and for other biosignals, as well as its methodological concerns, in several conditions and populations, in both healthy individuals and those with a pathology. In addition, this Special Issue aims to present studies that verify clinical evidence of the effectiveness of the use of entropy to discriminate or classify different populations/conditions.

Specific themes for this Special Issue include, but are not limited to:

  • Entropy and biomechanics
  • Entropy and movement variability
  • Entropy in gait and balance
  • Entropy and heart rate variability
  • Entropy and muscle function
  • Entropy and brain rhythms
  • Entropy as a biomarker
  • Multiscale entropy and complexity
  • Entropy and its algorithms
  • Methodological concerns when extracting entropy

Prof. Dr. Marcus Fraga Vieira
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.

Published Papers

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