This project aims to gain a comprehensive understanding of the biomechanical and neuromuscular mechanisms underlying anterior cruciate ligament (ACL) injury risk during sport-specific cutting maneuvers. Given the elevated injury risk in the complex, dynamic nature of sport-specific movements, the project focused on five key areas: the influence of task complexity and time-constrained decision-making on knee abduction moments (KAM), the identification of technique-related risk factors associated with KAM, the effects of individualized augmented feedback on cutting technique and joint loading, the interchangeability of sport-specific and generic cutting tasks in risk screening and training, and the modulation of thigh muscle activation patterns under different cognitive demands.
To address these objectives, the project combines advanced biomechanical motion analysis, muscle activity (EMG) assessments, and individualized intervention strategies. The overarching goal is to inform the development of improved, evidence-based screening tools and training interventions aimed at reducing ACL injury risk. Furthermore, the findings are intended to support athletes, coaches, and clinicians in identifying and promoting safer cutting techniques and in designing return-to-sport assessments that reflect the demands of the game. Ultimately, this research contributes to a more nuanced, sport-specific, and data-driven approach to injury prevention in team sports.
| Status | Active |
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| Effective start/end date | 01.04.21 → … |
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In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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SDG 3
Good Health and Well-being