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

Autor: Anne Benjaminse, Eline M. Nijmeijer, Alli Gokeler, Stefano Di Paolo

Publikováno v: Sensors, Vol 24, Iss 11, p 3652 (2024)

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 estimat

Externí odkaz: https://doaj.org/article/d5d89c3a36604cfb9575e5e0e7e5fb89

Concurrent validation of the Xsens IMU system of lower-body kinematics in jump-landing and change-of-direction tasks

Autor: Eline M. Nijmeijer, Pieter Heuvelmans, Ruben Bolt, Alli Gokeler, Egbert Otten, Anne Benjaminse

Publikováno v: Nijmeijer, E M, Heuvelmans, P, Bolt, R, Gokeler, A, Otten, E & Benjaminse, A 2023, ' Concurrent validation of the Xsens IMU system of lower-body kinematics in jump-landing and change-of-direction tasks ', Journal of Biomechanics, vol. 154, 111637, pp. 111637 . https://doi.org/10.1016/j.jbiomech.2023.111637
Journal of Biomechanics, 154. Elsevier Limited

Inertial measurement units (IMUs) allow for measurements of kinematic movements outside the laboratory, persevering the athlete-environment relationship. To use IMUs in a sport-specific setting, it is necessary to validate sport-specific movements. T

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecf4005b347f27dac3b98ff535ab8050
https://doi.org/10.1016/j.jbiomech.2023.111637