Biomechanics laboratory-based prediction algorithm to identify female athletes with high knee loads that increase risk of ACL injury

Lignende værker

• Biomechanical Deficit Profiles Associated with ACL Injury Risk in Female Athletes
  af: Pappas, Evangelos, et al.
  Udgivet: (2016)
• Development and Validation of a Clinic-Based Prediction Tool to Identify Female Athletes at High Risk for Anterior Cruciate Ligament Injury
  af: Myer, Gregory D., et al.
  Udgivet: (2010)
• Clinical Correlates to Laboratory Measures for use in Non-Contact Anterior Cruciate Ligament Injury Risk Prediction Algorithm
  af: Myer, Gregory D., et al.
  Udgivet: (2010)
• Medial Foot Loading on Ankle and Knee Biomechanics
  af: Mitchell, Lyneil C.J., et al.
  Udgivet: (2008)
• Utilization of ACL Injury Biomechanical and Neuromuscular Risk Profile Analysis to Determine the Effectiveness of Neuromuscular Training
  af: Hewett, Timothy E., et al.
  Udgivet: (2016)