ArticleOrthopaedic journal of sports medicine2021
Sex-Based Differences in the Drop Vertical Jump as Revealed by Video Motion Capture Analysis Using Artificial Intelligence.
Article in Orthopaedic journal of sports medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence in rehabilitation: a living systematic mapping review - first release.European journal of physical and rehabilitation medicine · 2025Pooled it
- Motion Capture Technologies for Athletic Performance Enhancement and Injury Risk Assessment: A Review for Multi-Sport Organizations.Sensors (Basel, Switzerland) · 2025Review
- Posterior Tibial Slope Characteristics and Their Relationships With Thigh Muscle Morphology, Activation Patterns, and Dynamic Knee Valgus in Male and Female Soccer Players Before and After Fatigue: A Descriptive Laboratory Study.Orthopaedic journal of sports medicine · 2025Article
- Validity and Reliability of OpenPose-Based Motion Analysis in Measuring Knee Valgus during Drop Vertical Jump Test.Journal of sports science & medicine · 2024Article
- Comparing novel smartphone pose estimation frameworks with the Kinect V2 for knee tracking during athletic stress tests.International journal of computer assisted radiology and surgery · 2024Article
- Jump Landing Kinematics: Establishing Normative Ranges For Male And Female Athletes.Journal of athletic training · 2024Article
- A scoping review of portable sensing for out-of-lab anterior cruciate ligament injury prevention and rehabilitation.NPJ digital medicine · 2023Article
- Patellofemoral Pain, Q-Angle, and Performance in Female Chinese Collegiate Soccer Players.Medicina (Kaunas, Lithuania) · 2023Article
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Authors and funding
8 authors.
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Abstract
backgroundSex-based biomechanical differences during a drop vertical jump (DVJ) may explain the increased risk of anterior cruciate ligament injury in females. Video motion capture using artificial intelligence (VMocap) is a new method for accurate motion analysis. PURPOSE: To use VMocap to identify sex-based differences in biomechanics during a DVJ in Asian athletes. STUDY
designControlled laboratory study.
methodsA total of 63 female and 61 male Asian soccer players volunteered for this study in 2018. Participants performed a bilateral DVJ using VMocap, and the knee valgus angle (KVA), knee flexion angle (KFA), hip flexion angle (HFA), and lower leg anterior inclination angle (LAIA) were calculated from the motion capture data. These joint angles and inclination angles were evaluated at the time of highest point of the first jump (H1), initial contact (IC), maximum knee flexion (MKF), toe-off (TO), and highest point of the second jump (H2). The unpaired
resultsAt H1, the KVA in females showed more valgus (-2.9° vs -5.4°) and the LAIA in females was greater (29.1° vs 25.7°) versus males (
conclusionAsian female soccer players showed increased KVA and LAIA, decreased KFA and HFA at MKF, and increased KFA at IC and TO compared with their male counterparts in this analysis of the DVJ. CLINICAL RELEVANCE: Elucidation of kinematic differences between the sexes can aid in predicting injuries.
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