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 996
Special Issue Editor
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
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