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Computer simulation on the cueing movements in cue sports: a validation study

BACKGROUND: Simulation models have been applied to analyze daily living activities and some sports movements. However, it is unknown whether the current upper extremity musculoskeletal models can be utilized for investigating cue sports movements to generate corresponding kinematic and muscle activa...

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Autores principales: Pan, Jing Wen, Mei, Qichang, Fernandez, Justin, Song, Hesheng, Komar, John, Kong, Pui Wah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576500/
https://www.ncbi.nlm.nih.gov/pubmed/37842036
http://dx.doi.org/10.7717/peerj.16180
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author Pan, Jing Wen
Mei, Qichang
Fernandez, Justin
Song, Hesheng
Komar, John
Kong, Pui Wah
author_facet Pan, Jing Wen
Mei, Qichang
Fernandez, Justin
Song, Hesheng
Komar, John
Kong, Pui Wah
author_sort Pan, Jing Wen
collection PubMed
description BACKGROUND: Simulation models have been applied to analyze daily living activities and some sports movements. However, it is unknown whether the current upper extremity musculoskeletal models can be utilized for investigating cue sports movements to generate corresponding kinematic and muscle activation profiles. This study aimed to test the feasibility of applying simulation models to investigate cue sports players’ cueing movements with OpenSim. Preliminary muscle forces would be calculated once the model is validated. METHODS: A previously customized and validated unimanual upper extremity musculoskeletal model with six degrees of freedom at the scapula, shoulder, elbow, and wrist, as well as muscles was used in this study. Two types of cueing movements were simulated: (1) the back spin shot, and (2) 9-ball break shot. Firstly, kinematic data of the upper extremity joints were collected with a 3D motion capture system. Using the experimental marker trajectories of the back spin shot on 10 male cue sports players, the simulation on the cueing movements was executed. The model was then validated by comparing the model-generated joint angles against the experimental results using statistical parametric mapping (SPM1D) to examine the entire angle-time waveform as well as t-tests to compare the discrete variables (e.g., joint range of motion). Secondly, simulation of the break shot was run with the experimental marker trajectories and electromyographic (EMG) data of two male cue sports players as the model inputs. A model-estimated muscle activation calculation was performed accordingly for the upper extremity muscles. RESULTS: The OpenSim-generated joint angles for the back spin shot corresponded well with the experimental results for the elbow, while the model outputs of the shoulder deviated from the experimental data. The discrepancy in shoulder joint angles could be due to the insufficient kinematic inputs for the shoulder joint. In the break shot simulation, the preliminary findings suggested that great shoulder muscle forces could primarily contribute to the forward swing in a break shot. This suggests that strengthening the shoulder muscles may be a viable strategy to improve the break shot performance. CONCLUSION: It is feasible to cater simulation modeling in OpenSim for biomechanical investigations of the upper extremity movements in cue sports. Model outputs can help better understand the contributions of individual muscle forces when performing cueing movements.
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spelling pubmed-105765002023-10-15 Computer simulation on the cueing movements in cue sports: a validation study Pan, Jing Wen Mei, Qichang Fernandez, Justin Song, Hesheng Komar, John Kong, Pui Wah PeerJ Kinesiology BACKGROUND: Simulation models have been applied to analyze daily living activities and some sports movements. However, it is unknown whether the current upper extremity musculoskeletal models can be utilized for investigating cue sports movements to generate corresponding kinematic and muscle activation profiles. This study aimed to test the feasibility of applying simulation models to investigate cue sports players’ cueing movements with OpenSim. Preliminary muscle forces would be calculated once the model is validated. METHODS: A previously customized and validated unimanual upper extremity musculoskeletal model with six degrees of freedom at the scapula, shoulder, elbow, and wrist, as well as muscles was used in this study. Two types of cueing movements were simulated: (1) the back spin shot, and (2) 9-ball break shot. Firstly, kinematic data of the upper extremity joints were collected with a 3D motion capture system. Using the experimental marker trajectories of the back spin shot on 10 male cue sports players, the simulation on the cueing movements was executed. The model was then validated by comparing the model-generated joint angles against the experimental results using statistical parametric mapping (SPM1D) to examine the entire angle-time waveform as well as t-tests to compare the discrete variables (e.g., joint range of motion). Secondly, simulation of the break shot was run with the experimental marker trajectories and electromyographic (EMG) data of two male cue sports players as the model inputs. A model-estimated muscle activation calculation was performed accordingly for the upper extremity muscles. RESULTS: The OpenSim-generated joint angles for the back spin shot corresponded well with the experimental results for the elbow, while the model outputs of the shoulder deviated from the experimental data. The discrepancy in shoulder joint angles could be due to the insufficient kinematic inputs for the shoulder joint. In the break shot simulation, the preliminary findings suggested that great shoulder muscle forces could primarily contribute to the forward swing in a break shot. This suggests that strengthening the shoulder muscles may be a viable strategy to improve the break shot performance. CONCLUSION: It is feasible to cater simulation modeling in OpenSim for biomechanical investigations of the upper extremity movements in cue sports. Model outputs can help better understand the contributions of individual muscle forces when performing cueing movements. PeerJ Inc. 2023-10-11 /pmc/articles/PMC10576500/ /pubmed/37842036 http://dx.doi.org/10.7717/peerj.16180 Text en ©2023 Pan et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Kinesiology
Pan, Jing Wen
Mei, Qichang
Fernandez, Justin
Song, Hesheng
Komar, John
Kong, Pui Wah
Computer simulation on the cueing movements in cue sports: a validation study
title Computer simulation on the cueing movements in cue sports: a validation study
title_full Computer simulation on the cueing movements in cue sports: a validation study
title_fullStr Computer simulation on the cueing movements in cue sports: a validation study
title_full_unstemmed Computer simulation on the cueing movements in cue sports: a validation study
title_short Computer simulation on the cueing movements in cue sports: a validation study
title_sort computer simulation on the cueing movements in cue sports: a validation study
topic Kinesiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576500/
https://www.ncbi.nlm.nih.gov/pubmed/37842036
http://dx.doi.org/10.7717/peerj.16180
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