Sports monitoring: A complex systems approach
Sports monitoring, based on excessively simplistic theoretical assumptions and methodological techniques, has limitations for capturing and assessing athletes’ behaviour. This thesis, conceptualizing athletes as complex adaptive systems (CAS), aims to propose methods and data analysis techniques for...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | CBUC, CESCA |
| Repositorio: | TDR. Tesis Doctorales en Red |
| OAI Identifier: | oai:www.tdx.cat:10803/675855 |
| Acceso en línea: | http://hdl.handle.net/10803/675855 |
| Access Level: | acceso abierto |
| Palabra clave: | Fisiologia de l'exercici Fisiología del ejercicio Exercise physiology Proves d'esforç Pruebas de esfuerzo Exercise tests Anàlisi de sèries temporals Análisis de series temporales Time-series analysis Histèresi Histéresis Hysteresis Ciències de l'Educació 79 |
| Sumario: | Sports monitoring, based on excessively simplistic theoretical assumptions and methodological techniques, has limitations for capturing and assessing athletes’ behaviour. This thesis, conceptualizing athletes as complex adaptive systems (CAS), aims to propose methods and data analysis techniques for assessing CAS’ properties, and approach sport-related phenomena accordingly. Four published research articles are included. They study the properties of hysteresis, variability and synergies in diverse phenomena: workload stress and tolerance, fatigue-induced exhaustion, exercising flow state, and the relation between intra- and interpersonal synergies in a dyadic task. The applied methods and techniques have shown their potential to capture: a) the psychobiological stress and exercise tolerance through the hysteresis area of heart rate and the rate of perceived exertion, b) the fatigue-induced exhaustion and the exercising flow state through the time-variability of acceleration, and c) the multilevel coordination of dyads through the analysis of synergies. These time series analysis techniques, taken at individual level, supposed an actionable and effective way to assess athlete’s behaviour and improve the understanding of the studied phenomena. Therefore, this thesis proposes updating, on the basis of a complex systems approach, the current theoretical assumptions and methodological techniques of sports monitoring. |
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