Impact of Gender and Feature Set on Machine-Learning-Based Prediction of Lower-Limb Overuse Injuries Using a Single Trunk-Mounted Accelerometer

Even though practicing sports has great health benefits, it also entails a risk of developing overuse injuries, which can elicit a negative impact on physical, mental, and financial health. Being able to predict the risk of an overuse injury arising is of widespread interest because this may play a...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Sieglinde Bogaert, Jesse Davis, Sam Van Rossom, Benedicte Vanwanseele
Format:	Article
Language:	English
Published:	MDPI AG 2022-04-01
Subjects:	running machine learning lower-limb overuse injury accelerometery
Online Access:	https://www.mdpi.com/1424-8220/22/8/2860