Cargando…
Comparing dynamical systems concepts and techniques for biomechanical analysis
Traditional biomechanical analyses of human movement are generally derived from linear mathematics. While these methods can be useful in many situations, they do not describe behaviors in human systems that are predominately nonlinear. For this reason, nonlinear analysis methods based on a dynamical...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shanghai University of Sport
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6191988/ https://www.ncbi.nlm.nih.gov/pubmed/30356938 http://dx.doi.org/10.1016/j.jshs.2016.01.013 |
_version_ | 1783363823444426752 |
---|---|
author | van Emmerik, Richard E.A. Ducharme, Scott W. Amado, Avelino C. Hamill, Joseph |
author_facet | van Emmerik, Richard E.A. Ducharme, Scott W. Amado, Avelino C. Hamill, Joseph |
author_sort | van Emmerik, Richard E.A. |
collection | PubMed |
description | Traditional biomechanical analyses of human movement are generally derived from linear mathematics. While these methods can be useful in many situations, they do not describe behaviors in human systems that are predominately nonlinear. For this reason, nonlinear analysis methods based on a dynamical systems approach have become more prevalent in recent literature. These analysis techniques have provided new insights into how systems (1) maintain pattern stability, (2) transition into new states, and (3) are governed by short- and long-term (fractal) correlational processes at different spatio-temporal scales. These different aspects of system dynamics are typically investigated using concepts related to variability, stability, complexity, and adaptability. The purpose of this paper is to compare and contrast these different concepts and demonstrate that, although related, these terms represent fundamentally different aspects of system dynamics. In particular, we argue that variability should not uniformly be equated with stability or complexity of movement. In addition, current dynamic stability measures based on nonlinear analysis methods (such as the finite maximal Lyapunov exponent) can reveal local instabilities in movement dynamics, but the degree to which these local instabilities relate to global postural and gait stability and the ability to resist external perturbations remains to be explored. Finally, systematic studies are needed to relate observed reductions in complexity with aging and disease to the adaptive capabilities of the movement system and how complexity changes as a function of different task constraints. |
format | Online Article Text |
id | pubmed-6191988 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Shanghai University of Sport |
record_format | MEDLINE/PubMed |
spelling | pubmed-61919882018-10-23 Comparing dynamical systems concepts and techniques for biomechanical analysis van Emmerik, Richard E.A. Ducharme, Scott W. Amado, Avelino C. Hamill, Joseph J Sport Health Sci Special issue on Concepts of Dynamic Systems and its applications in Health and Sport Traditional biomechanical analyses of human movement are generally derived from linear mathematics. While these methods can be useful in many situations, they do not describe behaviors in human systems that are predominately nonlinear. For this reason, nonlinear analysis methods based on a dynamical systems approach have become more prevalent in recent literature. These analysis techniques have provided new insights into how systems (1) maintain pattern stability, (2) transition into new states, and (3) are governed by short- and long-term (fractal) correlational processes at different spatio-temporal scales. These different aspects of system dynamics are typically investigated using concepts related to variability, stability, complexity, and adaptability. The purpose of this paper is to compare and contrast these different concepts and demonstrate that, although related, these terms represent fundamentally different aspects of system dynamics. In particular, we argue that variability should not uniformly be equated with stability or complexity of movement. In addition, current dynamic stability measures based on nonlinear analysis methods (such as the finite maximal Lyapunov exponent) can reveal local instabilities in movement dynamics, but the degree to which these local instabilities relate to global postural and gait stability and the ability to resist external perturbations remains to be explored. Finally, systematic studies are needed to relate observed reductions in complexity with aging and disease to the adaptive capabilities of the movement system and how complexity changes as a function of different task constraints. Shanghai University of Sport 2016-03 2016-01-18 /pmc/articles/PMC6191988/ /pubmed/30356938 http://dx.doi.org/10.1016/j.jshs.2016.01.013 Text en © 2016 Production and hosting by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Special issue on Concepts of Dynamic Systems and its applications in Health and Sport van Emmerik, Richard E.A. Ducharme, Scott W. Amado, Avelino C. Hamill, Joseph Comparing dynamical systems concepts and techniques for biomechanical analysis |
title | Comparing dynamical systems concepts and techniques for biomechanical analysis |
title_full | Comparing dynamical systems concepts and techniques for biomechanical analysis |
title_fullStr | Comparing dynamical systems concepts and techniques for biomechanical analysis |
title_full_unstemmed | Comparing dynamical systems concepts and techniques for biomechanical analysis |
title_short | Comparing dynamical systems concepts and techniques for biomechanical analysis |
title_sort | comparing dynamical systems concepts and techniques for biomechanical analysis |
topic | Special issue on Concepts of Dynamic Systems and its applications in Health and Sport |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6191988/ https://www.ncbi.nlm.nih.gov/pubmed/30356938 http://dx.doi.org/10.1016/j.jshs.2016.01.013 |
work_keys_str_mv | AT vanemmerikrichardea comparingdynamicalsystemsconceptsandtechniquesforbiomechanicalanalysis AT ducharmescottw comparingdynamicalsystemsconceptsandtechniquesforbiomechanicalanalysis AT amadoavelinoc comparingdynamicalsystemsconceptsandtechniquesforbiomechanicalanalysis AT hamilljoseph comparingdynamicalsystemsconceptsandtechniquesforbiomechanicalanalysis |