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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Anne Benjaminse, Eline M. Nijmeijer, Alli Gokeler, Stefano Di Paolo
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2024-06-01
Schriftenreihe:	Sensors
Schlagworte:	anterior cruciate ligament kinetics on field IMU injury prevention female football
Online-Zugang:	https://www.mdpi.com/1424-8220/24/11/3652
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