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dc.contributor.authorMercado Palomino, Elia
dc.contributor.authorAragón Royón, Francisco
dc.contributor.authorBenítez Sánchez, José Manuel 
dc.contributor.authorUreña Espa, Aurelio 
dc.date.accessioned2022-01-26T13:04:23Z
dc.date.available2022-01-26T13:04:23Z
dc.date.issued2021-12-08
dc.identifier.citationMercado-Palomino, E... [et al.]. The influence of limb role, direction of movement and limb dominance on movement strategies during block jump-landings in volleyball. Sci Rep 11, 23668 (2021). [https://doi.org/10.1038/s41598-021-03106-0]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/72501
dc.descriptionFinanced by FEDER/Junta de Andalucia-Consejeria de Economia y Conocimiento/Proyecto A-TIC-388UGR18. This research has been partially funded by Proyect PID2020-118224RB-I00, funded by MCIN/AEI/10.13039/501100011033/FEDER "Una manera de hacer Europa".es_ES
dc.description.abstractThe identification of movement strategies in situations that are as ecologically valid as possible is essential for the understanding of lower limb interactions. This study considered the kinetic and kinematic data for the hip, knee and ankle joints from 376 block jump-landings when moving in the dominant and non-dominant directions from fourteen senior national female volleyball players. Two Machine Learning methods were used to generate the models from the dataset, Random Forest and Artificial Neural Networks. In addition, decision trees were used to detect which variables were relevant to discern the limb movement strategies and to provide a meaningful prediction. The results showed statistically significant differences when comparing the movement strategies between limb role (accuracy > 88.0% and > 89.3%, respectively), and when moving in the different directions but performing the same role (accuracy > 92.3% and > 91.2%, respectively). This highlights the importance of considering limb dominance, limb role and direction of movement during block jump-landings in the identification of which biomechanical variables are the most influential in the movement strategies. Moreover, Machine Learning allows the exploration of how the joints of both limbs interact during sporting tasks, which could provide a greater understanding and identification of risky movements and preventative strategies. All these detailed and valuable descriptions could provide relevant information about how to improve the performance of the players and how to plan trainings in order to avoid an overload that could lead to risk of injury. This highlights that, there is a necessity to consider the learning models, in which the spike approach unilaterally is taught before the block approach (bilaterally). Therefore, we support the idea of teaching bilateral approach before learning the spike, in order to improve coordination and to avoid asymmetries between limbs.es_ES
dc.description.sponsorshipFEDER/Junta de Andalucia-Consejeria de Economia y Conocimiento A-TIC-388UGR18es_ES
dc.description.sponsorshipMCIN/AEI/FEDER "Una manera de hacer Europa" PID2020-118224RB-I00es_ES
dc.language.isoenges_ES
dc.publisherNaturees_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.titleThe influence of limb role, direction of movement and limb dominance on movement strategies during block jump‑landings in volleyballes_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1038/s41598-021-03106-0
dc.type.hasVersionVoRes_ES


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