S Apte, G Prigent, T Stöggl, A Martínez… - Frontiers in …, 2021 - frontiersin.org
Objective: To investigate (i) typical protocols used in research on biomechanical response to running-induced fatigue,(ii) the effect of sport-induced acute fatigue on the biomechanics of …
Machine learning is a promising approach to evaluate human movement based on wearable sensor data. A representative dataset for training data-driven models is crucial to …
Objective: Monitoring athlete internal workload exposure, including prevention of catastrophic non-contact knee injuries, relies on the existence of a custom early-warning …
Z Zeng, Y Liu, X Hu, M Tang, L Wang - Sports Medicine-Open, 2022 - Springer
Abstract Background Inertial measurement units (IMUs) are useful in monitoring running and alerting running-related injuries in various sports settings. However, the quantitative …
Gait assessments in standardized settings, as part of the clinical follow-up of children with cerebral palsy (CP), may not represent gait in daily life. This study aimed at comparing gait …
B Van Hooren, P Willems, G Plasqui… - … Journal of Medicine & …, 2023 - Wiley Online Library
Spatiotemporal metrics such as step frequency have been associated with running injuries in some studies. Wearables can measure these metrics and provide real‐time feedback in …
In sports analytics, an understanding of accurate on-field 3D knee joint moments (KJM) could provide an early warning system for athlete workload exposure and knee injury risk …
Abstract Background Inertial measurement units (IMUs) are used for running gait analysis in a variety of sports. These sensors have been attached at various locations to capture stride …
A growing number of companies are developing or using wearable sensor technologies that can monitor, analyse and transmit data from humans in real time that can be used by the …