A global view on how local muscular fatigue affects human performance

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorUniv Porto-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorGoethel, Marcio F.-
Autor(es): dc.creatorGoncalves, Mauro [UNESP]-
Autor(es): dc.creatorBrietzke, Cayque-
Autor(es): dc.creatorCardozo, Adalgiso C. [UNESP]-
Autor(es): dc.creatorVilas-Boas, Joao P.-
Autor(es): dc.creatorErvilha, Ulysses F.-
Data de aceite: dc.date.accessioned2022-02-22T00:56:34Z-
Data de disponibilização: dc.date.available2022-02-22T00:56:34Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2020-08-18-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1073/pnas.2007579117-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/209447-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/209447-
Descrição: dc.descriptionThere is a growing interest in scientific literature on identifying how and to what extent interventions applied to a specific body region influence the responses and functions of other seemingly unrelated body regions. To investigate such a construct, it is necessary to have a global multivariate model that considers the interaction among several variables that are involved in a specific task and how a local and acute impairment affects the behavior of the output of such a model. We developed an artificial neural network (ANN)-based multivariate model by using parameters of motor skills obtained from kinematic, postural control, joint torque, and proprioception variables to assess the local fatigue effects of the abductor hip muscles on the functional profile during a single-leg drop landing and a squatting task. Findings suggest that hip abductor muscles' local fatigue produces a significant effect on a general functional profile, built on different control systems. We propose that expanded and global approaches, such as the one used in this study, have great applicability and have the potential to serve as a tool that guaran-tees ecological validity of future investigations.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionUniv Sao Paulo, Sch Arts Sci & Humanities, Lab Phys Act Sci, BR-03828000 Sao Paulo, Brazil-
Descrição: dc.descriptionUniv Porto, Fac Sport, Ctr Res Educ Innovat & Intervent Sport, P-4200450 Porto, Portugal-
Descrição: dc.descriptionUniv Porto, Porto Biomech Lab, P-4200450 Porto, Portugal-
Descrição: dc.descriptionSao Paulo State Univ, Dept Phys Educ, BR-13506692 Rio Claro, Brazil-
Descrição: dc.descriptionUniv Sao Paulo, Sch Arts Sci & Humanities, Exercise Psychophysiol Res Grp, BR-03828000 Sao Paulo, Brazil-
Descrição: dc.descriptionSao Paulo State Univ, Dept Phys Educ, BR-13506692 Rio Claro, Brazil-
Descrição: dc.descriptionCAPES: 88882.315726/2019-01-
Formato: dc.format19866-19872-
Idioma: dc.languageen-
Publicador: dc.publisherNatl Acad Sciences-
Relação: dc.relationProceedings Of The National Academy Of Sciences Of The United States Of America-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectartificial neural network-
Palavras-chave: dc.subjectself-organizing feature maps-
Palavras-chave: dc.subjectexercise-
Palavras-chave: dc.subjectfatigue-
Título: dc.titleA global view on how local muscular fatigue affects human performance-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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