Design of a linear regression model based on accelerometric and electromyographic data to control the internal workload in football
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Pablo Honrubia [1] ; Florentino Huertas [1]
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[1] Universidad Católica de Valencia San Vicente Mártir
Universidad Católica de Valencia San Vicente Mártir
Valencia, España
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- Localización: Actividad física y deporte: ciencia y profesión, ISSN 1578-2484, ISSN-e 2659-8930, Nº. 31, 2019, págs. 90-91
- Idioma: inglés
- Enlaces
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Resumen
The quantification of training loads can contribute decisively to prevent injuries and optimize performance in collective sports (David, & Julen, 2015)(Fournier-Farley, Lamontagne, Gendron & Gagnon, 2015). On average in 90 minutes is possible to do up to 12 kilometres, a sprint, acceleration, braking, change of direction, etc. it occurs on average every 90 seconds, with a duration per action between 2 and 4 seconds, being between 1 and 11% of the total distance travelledin a match (Stolen, Chamari, Castagna & Wisloff, 2005). This shows the importance of external load control in collective sports and how this modifies the internal load.Objectives:The main objectives of this research will be analysethe relationship between external load parameters (accelerometery) with the internal load response (electromyography) in specific actions of collective sports (Thorlund, Aagaard & Madsen, 2009). Create an algorithm to obtain useful indicators for the control and quantification of the load, based on the existing relationship between the accelerometeryand electromyography
