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Computational and Complex Network Modeling for Analysis of Sprinter Athletes' Performance in Track Field Tests.
Pereira, Vanessa H; Gobatto, Claudio A; Lewis, Theodore G; Ribeiro, Luiz F P; Beck, Wladimir R; Dos Reis, Ivan G M; Sousa, Filipe A B; Manchado-Gobatto, Fúlvia B.
Afiliação
  • Pereira VH; Laboratory of Applied Sport Physiology, School of Applied Sciences, University of Campinas, Limeira, Brazil.
  • Gobatto CA; Laboratory of Applied Sport Physiology, School of Applied Sciences, University of Campinas, Limeira, Brazil.
  • Lewis TG; Center for Homeland Defense and Security, Naval Postgraduate School, Monterey, CA, United States.
  • Ribeiro LFP; Laboratory of Applied Sport Physiology, School of Applied Sciences, University of Campinas, Limeira, Brazil.
  • Beck WR; Laboratory of Applied Sport Physiology, School of Applied Sciences, University of Campinas, Limeira, Brazil.
  • Dos Reis IGM; Laboratory of Applied Sport Physiology, School of Applied Sciences, University of Campinas, Limeira, Brazil.
  • Sousa FAB; Laboratory of Applied Sport Physiology, School of Applied Sciences, University of Campinas, Limeira, Brazil.
  • Manchado-Gobatto FB; Laboratory of Applied Sport Physiology, School of Applied Sciences, University of Campinas, Limeira, Brazil.
Front Physiol ; 9: 843, 2018.
Article em En | MEDLINE | ID: mdl-30034346
Sports and exercise today are popular for both amateurs and athletes. However, we continue to seek the best ways to analyze best athlete performances and develop specific tools that may help scientists and people in general to analyze athletic achievement. Standard statistics and cause-and-effect research, when applied in isolation, typically do not answer most scientific questions. The human body is a complex holistic system exchanging data during activities, as has been shown in the emerging field of network physiology. However, the literature lacks studies regarding sports performance, running, exercise, and more specifically, sprinter athletes analyzed mathematically through complex network modeling. Here, we propose complex models to jointly analyze distinct tests and variables from track sprinter athletes in an untargeted manner. Through complex propositions, we have incorporated mathematical and computational modeling to analyze anthropometric, biomechanics, and physiological interactions in running exercise conditions. Exercise testing associated with complex network and mathematical outputs make it possible to identify which responses may be critical during running. The physiological basis, aerobic, and biomechanics variables together may play a crucial role in performance. Coaches, trainers, and runners can focus on improving specific outputs that together help toward individuals' goals. Moreover, our type of analysis can inspire the study and analysis of other complex sport scenarios.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Physiol Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Physiol Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça