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Entropy-Based Biomechanical Research and Its Applications II

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

Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 1024

Special Issue Editors

Department of Health Sciences and Kinesiology, Walter's College of Health Professions, Georgia Southern University, Statesboro, GA 30460, USA
Interests: biomechanics of human movement; aging; running injuries; gait analysis; the effects of specific pathologies on human movement (especially peripheral neuropathy, diabetes, and cerebral palsy)
Special Issues, Collections and Topics in MDPI journals
Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, MA 02131, USA
Interests: balance; senescence; aging; mobility; fall; rehabilitative medicine; biomechanics; nonlinear signal processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Many sports, locomotion, ergonomic, pathological, and other observable phenomena exhibit time evolution and can be successfully modeled via suitable mathematical expression, usually in a set of differential equations. Because input–output relations between system quantities are generally non-proportional, associated dynamical behavior could be very complex or, under specific conditions, chaotic. Detection, description, analysis, quantification, and control of this random-like erratic motion associated with nonlinear dynamical systems is important due to universality (through dimensionless mathematical modeling) and several unique properties (sensitivity to initial conditions, mixing attractors, fractal dimension, long-term unpredictability, continuous frequency spectrum, etc.).

Besides its application in information theory, entropy is a general measure commonly used to analyze complex systems. Similarly to Lyapunov exponents or fractal dimensions, entropy describes the complexity of dynamics concerning system parameters, external forcing, initial conditions, or time instances.

Considering the recent advances in dynamic systems, this Special Issue follows the success of the first Special Issue, with this second volume, which will continue to collate new ideas and describe promising methods arising from the field of analysis and modeling human behavior using complex nonlinear dynamical systems.

This Special Issue will accept original, unpublished papers and comprehensive reviews focused on (but not restricted to) the following research areas:

  • Application of different entropy calculations in biomechanical analysis of human movements;
  • Analysis of nonlinear dynamical systems with complex behavior;
  • New chaotic systems with unique properties, both autonomous and driven;
  • Experimental investigation of human movement with nonlinear dynamics;
  • Advanced computational algorithms applied in human movements;
  • Novel numerical methods dedicated to the quantitative analysis of dynamical human behaviors;
  • Algorithms for analysis of time sequences and entropy calculation applied to human movements.

To view the first volume of this Special Issue, please see: https://www.mdpi.com/si/entropy/Biomechanical_Research

Dr. Li Li
Dr. Brad Manor
Guest Editors

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

  • approximate entropy
  • balance
  • biomechanics
  • complexity
  • correlation entropy
  • electromyography
  • ergonomics
  • geometric entropy
  • Hilbert–Huang marginal spectrum entropy
  • injury risks
  • mobility (gait, walking, and running)
  • movement control
  • multiscale entropy
  • muscle contraction
  • nonlinear analysis
  • permutation entropy
  • postural control
  • sample entropy
  • Shannon—entropy
  • sports
  • stability
  • variability

Published Papers (1 paper)

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Research

14 pages, 2589 KiB  
Article
Mechanism for High-Precision Control of Movement at Maximum Output in the Vertical Jump Task
by Hiroki Murakami and Norimasa Yamada
Entropy 2024, 26(4), 300; https://doi.org/10.3390/e26040300 - 28 Mar 2024
Viewed by 592
Abstract
Human movements are governed by a tradeoff between speed and accuracy. Previous studies that have investigated the tradeoff relationship in sports movements involving whole-body movements have been limited to examining the relationship from the perspective of competition-specific movements, and the findings on whether [...] Read more.
Human movements are governed by a tradeoff between speed and accuracy. Previous studies that have investigated the tradeoff relationship in sports movements involving whole-body movements have been limited to examining the relationship from the perspective of competition-specific movements, and the findings on whether the relationship is valid have not been unified. Therefore, this study incorporated a vertical jump task with the introduction of a condition in which landing position control was added to evaluate the essence of a sports movement that requires both speed and accuracy. Accuracy was examined using a method that quantifies the coordinates of the landing and takeoff positions using entropy. The mechanism of that tradeoff was then examined by confirming the phenomenon and analyzing the 3D vector trajectories. An increase in accuracy and a decrease in speed were observed when the landing position was the control target, even in the vertical jumping task normally performed at maximum effort, and the 3D velocity vector was characterized by the following: a reduced scalar and a more vertical direction. While the entropy from the takeoff to the landing position seemed to decrease when the accuracy of the landing position improved, the following noteworthy results were obtained given the characteristics of the vertical jump. Unlike traditional feedback control in the entropy reduction in hand movements, the trajectory is predetermined in a feedforward-like manner by controlling the initial velocity vector at takeoff, which allows the landing point to be adjusted. Full article
(This article belongs to the Special Issue Entropy-Based Biomechanical Research and Its Applications II)
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