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The use of yank-time signal as an alternative to identify kinematic events and define phases in human countermovement jumping

Detailed examinations of both the movement and muscle activation patterns used by animals and humans to complete complex tasks are difficult to obtain in many environments. Therefore, the ability to infer movement and muscle activation patterns after capture of a single set of easily obtained data i...

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Autores principales: Sahrom, Sofyan B., Wilkie, Jodie C., Nosaka, Kazunori, Blazevich, Anthony J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481710/
https://www.ncbi.nlm.nih.gov/pubmed/32968500
http://dx.doi.org/10.1098/rsos.192093
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author Sahrom, Sofyan B.
Wilkie, Jodie C.
Nosaka, Kazunori
Blazevich, Anthony J.
author_facet Sahrom, Sofyan B.
Wilkie, Jodie C.
Nosaka, Kazunori
Blazevich, Anthony J.
author_sort Sahrom, Sofyan B.
collection PubMed
description Detailed examinations of both the movement and muscle activation patterns used by animals and humans to complete complex tasks are difficult to obtain in many environments. Therefore, the ability to infer movement and muscle activation patterns after capture of a single set of easily obtained data is highly sought after. One possible solution to this problem is to capture force-time data through the use of appropriate transducers, then interrogate the signal's derivative, the yank-time signal, which amplifies, and thus highlights, temporal force-time changes. Because the countermovement vertical jump (CMJ) is a complex movement that has been well studied in humans, it provides an excellent preliminary model to test the validity of this solution. The aim of the present study was therefore to explore the use of yank-time signal, derived from vertical ground reaction force-time data, to identify and describe important kinematic (captured using three-dimensional motion analysis) and kinetic events in the CMJ, and to relate these to possible muscle activation (electromyography) events that underpin them. It was found that the yank-time signal could be used to accurately identify several key events during the CMJ that are likely to be missed or misidentified when only force-time data are inspected, including the first instances of joint flexion and centre of mass movement. Four different jump profiles (i.e. kinematic patterns) were inferred from the yank-time data, which were linked to different patterns of muscle activation. Therefore, yank-time signal interrogation provides a viable method of estimating kinematic patterns and muscle activation strategies in complex human movements.
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spelling pubmed-74817102020-09-22 The use of yank-time signal as an alternative to identify kinematic events and define phases in human countermovement jumping Sahrom, Sofyan B. Wilkie, Jodie C. Nosaka, Kazunori Blazevich, Anthony J. R Soc Open Sci Physics and Biophysics Detailed examinations of both the movement and muscle activation patterns used by animals and humans to complete complex tasks are difficult to obtain in many environments. Therefore, the ability to infer movement and muscle activation patterns after capture of a single set of easily obtained data is highly sought after. One possible solution to this problem is to capture force-time data through the use of appropriate transducers, then interrogate the signal's derivative, the yank-time signal, which amplifies, and thus highlights, temporal force-time changes. Because the countermovement vertical jump (CMJ) is a complex movement that has been well studied in humans, it provides an excellent preliminary model to test the validity of this solution. The aim of the present study was therefore to explore the use of yank-time signal, derived from vertical ground reaction force-time data, to identify and describe important kinematic (captured using three-dimensional motion analysis) and kinetic events in the CMJ, and to relate these to possible muscle activation (electromyography) events that underpin them. It was found that the yank-time signal could be used to accurately identify several key events during the CMJ that are likely to be missed or misidentified when only force-time data are inspected, including the first instances of joint flexion and centre of mass movement. Four different jump profiles (i.e. kinematic patterns) were inferred from the yank-time data, which were linked to different patterns of muscle activation. Therefore, yank-time signal interrogation provides a viable method of estimating kinematic patterns and muscle activation strategies in complex human movements. The Royal Society 2020-08-26 /pmc/articles/PMC7481710/ /pubmed/32968500 http://dx.doi.org/10.1098/rsos.192093 Text en © 2020 The Authors. http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Physics and Biophysics
Sahrom, Sofyan B.
Wilkie, Jodie C.
Nosaka, Kazunori
Blazevich, Anthony J.
The use of yank-time signal as an alternative to identify kinematic events and define phases in human countermovement jumping
title The use of yank-time signal as an alternative to identify kinematic events and define phases in human countermovement jumping
title_full The use of yank-time signal as an alternative to identify kinematic events and define phases in human countermovement jumping
title_fullStr The use of yank-time signal as an alternative to identify kinematic events and define phases in human countermovement jumping
title_full_unstemmed The use of yank-time signal as an alternative to identify kinematic events and define phases in human countermovement jumping
title_short The use of yank-time signal as an alternative to identify kinematic events and define phases in human countermovement jumping
title_sort use of yank-time signal as an alternative to identify kinematic events and define phases in human countermovement jumping
topic Physics and Biophysics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481710/
https://www.ncbi.nlm.nih.gov/pubmed/32968500
http://dx.doi.org/10.1098/rsos.192093
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