Application of Machine Learning Methods to Investigate Joint Load in Agility on the Football Field: Creating the Model, Part I

Laboratory studies have limitations in screening for anterior cruciate ligament (ACL) injury risk due to their lack of ecological validity. Machine learning (ML) methods coupled with wearable sensors are state-of-art approaches for joint load estimation outside the laboratory in athletic tasks. The...

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Principais autores:	Anne Benjaminse, Eline M. Nijmeijer, Alli Gokeler, Stefano Di Paolo
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-06-01
Colecção:	Sensors
Assuntos:	anterior cruciate ligament kinetics on field IMU injury prevention female football
Acesso em linha:	https://www.mdpi.com/1424-8220/24/11/3652
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