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Modelling the responses of training loads to lead the performance in elite sports| old_uid | 17163 |
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| title | Modelling the responses of training loads to lead the performance in elite sports |
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| start_date | 2019/02/07 |
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| schedule | 10h30-12h |
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| online | no |
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| summary | Training loads are one of the most studied parameters over the last half century by sport
scientists, which represent a main issue in performance development and injury prevention. Despite our knowledge in this field, their effects on individual and collective performance remain still complex.
The last researches are dominated by the determination of the external load through the accessibility of wearable measure systems (i.e. GPS and inertial sensors), whereas internal load (physiological and psychological stimuli induced by the exercise) should be taken into consideration by objective methods, more accurate than traditional subjective rating perceived exertion. Thus, a more complete assessment of the internal load would provide a greater understanding of the influence of external load on performance.
Since physical based models, originally developed by Banister et al. (1975) showed a great interest in performance modelling even though approximative, statistical models (i.e. linear mixed models and machine learning models) will contribute to understand the relationship between internal – external loads and the implication of training loads to enhance performance and to prevent injuries.
Our work will be conducted throughout longitudinal studies in individual and collective elite sports. We will use appropriate modelling strategies to: (i) quantify the dynamic relationships between internal and external training load, and (ii) develop a decision support solution to help trainers in the optimization of training protocols. |
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| responsibles | Marin |
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