Computational and Complex Network Modeling for Analysis of Sprinter Athletes’ Performance in Track Field Tests
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Authors
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.
Subjects
computational science
complex network
physiology
sprinter athletes
performance
complex network
physiology
sprinter athletes
performance
Advisors
Date of Issue
2018
Date
2018
Publisher
Frontiers in Physiology
Language
Abstract
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.
Type
Article
Description
The article of record as published may be located at https://doi.org/10.3389/fphys.2018.00843
Series/Report No
Department
Center for Homeland Defense and Security (CHDS)
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
10 p.
Citation
Pereira VH, Gobatto CA, Lewis TG, Ribeiro LFP, Beck WR, dos Reis IGM, Sousa FAB and Manchado-Gobatto FB (2018) Computational and Complex Network Modeling for Analysis of Sprinter Athletes’ Performance in Track Field Tests. Front. Physiol. 9:843. doi: 10.3389/fphys.2018.00843
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.