Getkate, B. (Bart) (2021) Is the Football Movement Profile a Good Predictor for Internal Load Measures? A Study on the Relationship Between Internal and External Load. thesis, Sport Sciences.
Full text available on request.Abstract
Background Monitoring training load in professional football is used to optimize physical performance while minimizing risk of injury. Measuring external load and internal load are standard methodologies, but the relationship between them remains unclear. A new external load measure, the Football Movement Profile (FMP), could improve the prediction of internal load measures. This can help in the planning of intensity, duration, and rest. The FMP categorises football specific movements in six zones and measures the absolute and relative time spent in each zone. The FMP can be evaluated as a volume measure (FMP duration) or as an intensity measure (FMP percentage). Objective The aim of this study was to assess the predictive power of the FMP and compare it with ‘traditional’ external load variables. Methods Training data were collected from 33 professional football players over 41 weeks. External load was measured by global positioning system (GPS) devices and accelerometery, internal load was obtained using rating of perceived exertion (RPE) questionnaires and heart rate (HR) devices. Predictions were made on RPE, RPE multiplied by the duration of the session (sRPE), TRIMPMOD, and TRIMPMOD per minute. Using machine learning techniques, models were constructed based on the FMP and based on other external load variables, these models’ performance on the prediction of various internal load variables for future training sessions was compared with each other, as well as a baseline model. Results All models were been constructed outperformed the baseline. The FMP duration model outperformed the model based on other external load variables in predicting sRPE. In the prediction of RPE, TRIMPMOD, and TRIMPMOD per minute, the FMP duration models and the models based on other external load variables performed similarly. The FMP percentage models performed worst in the prediction of all internal load variables, only just outperforming the baseline. Conclusion The FMP duration model is a good predictor for sRPE. In the prediction of the other internal load measures it could be a good alternative for models based on other external load variables, as it is might be less time consuming to make a prediction on internal load measures.
| Item Type: | Thesis (UNSPECIFIED) |
|---|---|
| Supervisor name: | Zaal, F. and Borghuis, J. |
| Faculty: | Medical Sciences |
| Date Deposited: | 13 May 2022 09:58 |
| Last Modified: | 13 May 2022 09:58 |
| URI: | https://umcg.studenttheses.ub.rug.nl/id/eprint/3298 |
Actions (login required)
 |
View Item |