Cargando…
A Bayesian Network approach to study the relationships between several neuromuscular performance measures and dynamic postural control in futsal players
PURPOSE: The purpose of this study was to analyse the relationship between several parameters of neuromuscular performance with dynamic postural control using a Bayesian Network Classifiers (BN) based analysis. METHODS: The y-balance test (measure of dynamic postural control), isokinetic (concentric...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6657865/ https://www.ncbi.nlm.nih.gov/pubmed/31344068 http://dx.doi.org/10.1371/journal.pone.0220065 |
_version_ | 1783438860465733632 |
---|---|
author | Ruiz-Pérez, Iñaki Ayala, Francisco Puerta, José Miguel Elvira, Jose L. L. De Ste Croix, Mark Hernández-Sánchez, Sergio Vera-Garcia, Francisco Jose |
author_facet | Ruiz-Pérez, Iñaki Ayala, Francisco Puerta, José Miguel Elvira, Jose L. L. De Ste Croix, Mark Hernández-Sánchez, Sergio Vera-Garcia, Francisco Jose |
author_sort | Ruiz-Pérez, Iñaki |
collection | PubMed |
description | PURPOSE: The purpose of this study was to analyse the relationship between several parameters of neuromuscular performance with dynamic postural control using a Bayesian Network Classifiers (BN) based analysis. METHODS: The y-balance test (measure of dynamic postural control), isokinetic (concentric and eccentric) knee flexion and extension strength, isometric hip abduction and adduction strength, lower extremity joint range of motion (ROM) and core stability were assessed in 44 elite male futsal players. A feature selection process was carried out before building a BN (using the Tabu search algorithm) for each leg. The BN models built were used to make belief updating processes to study the individual and concurrent contributions of the selected parameters of neuromuscular performance on dynamic postural control. RESULTS: The BNs generated using the selected features by the algorithms correlation attribute evaluator and chi squared reported the highest evaluation criteria (area under the receiver operating characteristic curve [AUC]) for the dominant (AUC = 0.899) and non-dominant (AUC = 0.879) legs, respectively. CONCLUSIONS: The BNs demonstrated that performance achieved in the y-balance test appears to be widely influenced by hip and knee flexion and ankle dorsiflexion ROM measures in the sagittal plane, as well as by measures of static but mainly dynamic core stability in the frontal plane. Therefore, training interventions aimed at improving or maintaining dynamic postural control in elite male futsal players should include, among other things, exercises that produce ROM scores equal or higher than 127° of hip flexion, 132.5° of knee flexion as well as 34° and 30.5° of ankle dorsiflexion with the knee flexed and extended, respectively. Likewise, these training interventions should also include exercises to maintain or improve both the static and dynamic (medial-lateral plane) core stability so that futsal players can achieve medial radial error values lower than 6.69 and 8.79 mm, respectively. |
format | Online Article Text |
id | pubmed-6657865 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-66578652019-08-07 A Bayesian Network approach to study the relationships between several neuromuscular performance measures and dynamic postural control in futsal players Ruiz-Pérez, Iñaki Ayala, Francisco Puerta, José Miguel Elvira, Jose L. L. De Ste Croix, Mark Hernández-Sánchez, Sergio Vera-Garcia, Francisco Jose PLoS One Research Article PURPOSE: The purpose of this study was to analyse the relationship between several parameters of neuromuscular performance with dynamic postural control using a Bayesian Network Classifiers (BN) based analysis. METHODS: The y-balance test (measure of dynamic postural control), isokinetic (concentric and eccentric) knee flexion and extension strength, isometric hip abduction and adduction strength, lower extremity joint range of motion (ROM) and core stability were assessed in 44 elite male futsal players. A feature selection process was carried out before building a BN (using the Tabu search algorithm) for each leg. The BN models built were used to make belief updating processes to study the individual and concurrent contributions of the selected parameters of neuromuscular performance on dynamic postural control. RESULTS: The BNs generated using the selected features by the algorithms correlation attribute evaluator and chi squared reported the highest evaluation criteria (area under the receiver operating characteristic curve [AUC]) for the dominant (AUC = 0.899) and non-dominant (AUC = 0.879) legs, respectively. CONCLUSIONS: The BNs demonstrated that performance achieved in the y-balance test appears to be widely influenced by hip and knee flexion and ankle dorsiflexion ROM measures in the sagittal plane, as well as by measures of static but mainly dynamic core stability in the frontal plane. Therefore, training interventions aimed at improving or maintaining dynamic postural control in elite male futsal players should include, among other things, exercises that produce ROM scores equal or higher than 127° of hip flexion, 132.5° of knee flexion as well as 34° and 30.5° of ankle dorsiflexion with the knee flexed and extended, respectively. Likewise, these training interventions should also include exercises to maintain or improve both the static and dynamic (medial-lateral plane) core stability so that futsal players can achieve medial radial error values lower than 6.69 and 8.79 mm, respectively. Public Library of Science 2019-07-25 /pmc/articles/PMC6657865/ /pubmed/31344068 http://dx.doi.org/10.1371/journal.pone.0220065 Text en © 2019 Ruiz-Pérez et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Ruiz-Pérez, Iñaki Ayala, Francisco Puerta, José Miguel Elvira, Jose L. L. De Ste Croix, Mark Hernández-Sánchez, Sergio Vera-Garcia, Francisco Jose A Bayesian Network approach to study the relationships between several neuromuscular performance measures and dynamic postural control in futsal players |
title | A Bayesian Network approach to study the relationships between several neuromuscular performance measures and dynamic postural control in futsal players |
title_full | A Bayesian Network approach to study the relationships between several neuromuscular performance measures and dynamic postural control in futsal players |
title_fullStr | A Bayesian Network approach to study the relationships between several neuromuscular performance measures and dynamic postural control in futsal players |
title_full_unstemmed | A Bayesian Network approach to study the relationships between several neuromuscular performance measures and dynamic postural control in futsal players |
title_short | A Bayesian Network approach to study the relationships between several neuromuscular performance measures and dynamic postural control in futsal players |
title_sort | bayesian network approach to study the relationships between several neuromuscular performance measures and dynamic postural control in futsal players |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6657865/ https://www.ncbi.nlm.nih.gov/pubmed/31344068 http://dx.doi.org/10.1371/journal.pone.0220065 |
work_keys_str_mv | AT ruizperezinaki abayesiannetworkapproachtostudytherelationshipsbetweenseveralneuromuscularperformancemeasuresanddynamicposturalcontrolinfutsalplayers AT ayalafrancisco abayesiannetworkapproachtostudytherelationshipsbetweenseveralneuromuscularperformancemeasuresanddynamicposturalcontrolinfutsalplayers AT puertajosemiguel abayesiannetworkapproachtostudytherelationshipsbetweenseveralneuromuscularperformancemeasuresanddynamicposturalcontrolinfutsalplayers AT elvirajosell abayesiannetworkapproachtostudytherelationshipsbetweenseveralneuromuscularperformancemeasuresanddynamicposturalcontrolinfutsalplayers AT destecroixmark abayesiannetworkapproachtostudytherelationshipsbetweenseveralneuromuscularperformancemeasuresanddynamicposturalcontrolinfutsalplayers AT hernandezsanchezsergio abayesiannetworkapproachtostudytherelationshipsbetweenseveralneuromuscularperformancemeasuresanddynamicposturalcontrolinfutsalplayers AT veragarciafranciscojose abayesiannetworkapproachtostudytherelationshipsbetweenseveralneuromuscularperformancemeasuresanddynamicposturalcontrolinfutsalplayers AT ruizperezinaki bayesiannetworkapproachtostudytherelationshipsbetweenseveralneuromuscularperformancemeasuresanddynamicposturalcontrolinfutsalplayers AT ayalafrancisco bayesiannetworkapproachtostudytherelationshipsbetweenseveralneuromuscularperformancemeasuresanddynamicposturalcontrolinfutsalplayers AT puertajosemiguel bayesiannetworkapproachtostudytherelationshipsbetweenseveralneuromuscularperformancemeasuresanddynamicposturalcontrolinfutsalplayers AT elvirajosell bayesiannetworkapproachtostudytherelationshipsbetweenseveralneuromuscularperformancemeasuresanddynamicposturalcontrolinfutsalplayers AT destecroixmark bayesiannetworkapproachtostudytherelationshipsbetweenseveralneuromuscularperformancemeasuresanddynamicposturalcontrolinfutsalplayers AT hernandezsanchezsergio bayesiannetworkapproachtostudytherelationshipsbetweenseveralneuromuscularperformancemeasuresanddynamicposturalcontrolinfutsalplayers AT veragarciafranciscojose bayesiannetworkapproachtostudytherelationshipsbetweenseveralneuromuscularperformancemeasuresanddynamicposturalcontrolinfutsalplayers |