Sports monitoring: A complex systems approach
[eng] 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 techniqu...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universidad de Barcelona |
| Repositorio: | Dipòsit Digital de la UB |
| OAI Identifier: | oai:diposit.ub.edu:2445/190442 |
| Acceso en línea: | https://hdl.handle.net/2445/190442 http://hdl.handle.net/10803/675855 |
| Access Level: | acceso abierto |
| Palabra clave: | Fisiologia de l'exercici Proves d'esforç Anàlisi de sèries temporals Histèresi Exercise physiology Exercise tests Time-series analysis Hysteresis |
| Sumario: | [eng] 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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