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Slacklining: An explanatory multi-dimensional model considering classical mechanics, biopsychosocial health and time

This paper aims to overcome slacklining’s limited formulated explanatory models. Slacklining is an activity with increasing recreational use, but also has progressive adoption into prehabilitation and rehabilitation. Slacklining is achieved through self-learned strategies that optimize energy expend...

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Autores principales: Gabel, Charles Philip, Guy, Bernard, Mokhtarinia, Hamid Reza, Melloh, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7995339/
https://www.ncbi.nlm.nih.gov/pubmed/33816138
http://dx.doi.org/10.5312/wjo.v12.i3.102
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author Gabel, Charles Philip
Guy, Bernard
Mokhtarinia, Hamid Reza
Melloh, Markus
author_facet Gabel, Charles Philip
Guy, Bernard
Mokhtarinia, Hamid Reza
Melloh, Markus
author_sort Gabel, Charles Philip
collection PubMed
description This paper aims to overcome slacklining’s limited formulated explanatory models. Slacklining is an activity with increasing recreational use, but also has progressive adoption into prehabilitation and rehabilitation. Slacklining is achieved through self-learned strategies that optimize energy expenditure without conceding dynamic stability, during the neuromechanical action of balance retention on a tightened band. Evolved from rope-walking or ‘Funambulus’, slacklining has an extensive history, yet limited and only recent published research, particularly for clinical interventions and in-depth hypothesized multi-dimensional models describing the neuromechanical control strategies. These ‘knowledge-gaps’ can be overcome by providing an, explanatory model, that evolves and progresses existing standards, and explains the broader circumstances of slacklining’s use. This model details the individual’s capacity to employ control strategies that achieve stability, functional movement and progressive technical ability. The model considers contributing entities derived from: Self-learned control of movement patterns; subjected to classical mechanical forces governed by Newton’s physical laws; influenced by biopsychosocial health factors; and within time’s multi-faceted perspectives, including as a quantified unit and as a spatial and cortical experience. Consequently, specific patient and situational uses may be initiated within the framework of evidence based medicine that ensures a multi-tiered context of slacklining applications in movement, balance and stability. Further research is required to investigate and mathematically define this proposed model and potentially enable an improved understanding of human functional movement. This will include its application in other diverse constructed and mechanical applications in varied environments, automation levels, robotics, mechatronics and artificial-intelligence factors, including machine learning related to movement phenotypes and applications.
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spelling pubmed-79953392021-04-01 Slacklining: An explanatory multi-dimensional model considering classical mechanics, biopsychosocial health and time Gabel, Charles Philip Guy, Bernard Mokhtarinia, Hamid Reza Melloh, Markus World J Orthop Minireviews This paper aims to overcome slacklining’s limited formulated explanatory models. Slacklining is an activity with increasing recreational use, but also has progressive adoption into prehabilitation and rehabilitation. Slacklining is achieved through self-learned strategies that optimize energy expenditure without conceding dynamic stability, during the neuromechanical action of balance retention on a tightened band. Evolved from rope-walking or ‘Funambulus’, slacklining has an extensive history, yet limited and only recent published research, particularly for clinical interventions and in-depth hypothesized multi-dimensional models describing the neuromechanical control strategies. These ‘knowledge-gaps’ can be overcome by providing an, explanatory model, that evolves and progresses existing standards, and explains the broader circumstances of slacklining’s use. This model details the individual’s capacity to employ control strategies that achieve stability, functional movement and progressive technical ability. The model considers contributing entities derived from: Self-learned control of movement patterns; subjected to classical mechanical forces governed by Newton’s physical laws; influenced by biopsychosocial health factors; and within time’s multi-faceted perspectives, including as a quantified unit and as a spatial and cortical experience. Consequently, specific patient and situational uses may be initiated within the framework of evidence based medicine that ensures a multi-tiered context of slacklining applications in movement, balance and stability. Further research is required to investigate and mathematically define this proposed model and potentially enable an improved understanding of human functional movement. This will include its application in other diverse constructed and mechanical applications in varied environments, automation levels, robotics, mechatronics and artificial-intelligence factors, including machine learning related to movement phenotypes and applications. Baishideng Publishing Group Inc 2021-03-18 /pmc/articles/PMC7995339/ /pubmed/33816138 http://dx.doi.org/10.5312/wjo.v12.i3.102 Text en ©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.
spellingShingle Minireviews
Gabel, Charles Philip
Guy, Bernard
Mokhtarinia, Hamid Reza
Melloh, Markus
Slacklining: An explanatory multi-dimensional model considering classical mechanics, biopsychosocial health and time
title Slacklining: An explanatory multi-dimensional model considering classical mechanics, biopsychosocial health and time
title_full Slacklining: An explanatory multi-dimensional model considering classical mechanics, biopsychosocial health and time
title_fullStr Slacklining: An explanatory multi-dimensional model considering classical mechanics, biopsychosocial health and time
title_full_unstemmed Slacklining: An explanatory multi-dimensional model considering classical mechanics, biopsychosocial health and time
title_short Slacklining: An explanatory multi-dimensional model considering classical mechanics, biopsychosocial health and time
title_sort slacklining: an explanatory multi-dimensional model considering classical mechanics, biopsychosocial health and time
topic Minireviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7995339/
https://www.ncbi.nlm.nih.gov/pubmed/33816138
http://dx.doi.org/10.5312/wjo.v12.i3.102
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