Training load on the field

Program objectives

More and more data is being collected to optimally monitor athletes and rehabilitation patients to individualize their load and load capacity. The aim is to prevent overload and stimulate fitness and performance. To this day, parameters are used in football that provide insight into the physiological load (heart rate), the degree of movement (distance traveled, speeds and accelerations) and the mental or subjective load (experienced degree of fitness/recovery). 

From the point of view of football practice and the rehabilitation of sports injuries, there is a need for better insight into the load that training on the field places on the musculoskeletal system. This requires more than a sensor that measures the movement of the body as a whole (such as a pedometer). Movella's ambulatory sensors can measure a comprehensive movement analysis of the lower extremity, but how this should be translated into clinical decisions is still unclear. 

In this project we want to map the feasibility of monitoring the training load on the body during sport specific movements, such as sprinting and agility exercises. To achieve this, an algorithm must be tested in practice and results must be presented meaningfully and in the context of all other data from the players in an understandable way with the help of artificial intelligence.  

Partners

Saxion Smart Health research group, FC Twente, Pro-F, Movella   

 

Projectpage

n.a. 

Duration

October 2023 – September 2024

More information

For more information you can contact dr. Tatiana Goering, researcher and project leader [email protected] 06 2011 3941 

Financing

Taskforce for Applied Research SIA: http://www.regieorgaan-sia.nl/