MODELlNG AND COMPUTER SIMULATION IN SPORTS BIOMECHANICS: APPLICATION TO THE PREVENTION OF KNEE LIGAMENT INJURIES

Abstract

Mathematical models of musculoskeletal dynamics have become important tools in sport biomechanics. Inverse dynamic analysis is now routinely applied to obtain estimates of internal forces in the human body, using external force and motion data collected during sport movements. Forward dynamic analysis can generate new, hypothetical movements via computer simulation, and thus explore the effect of movement technique, equipment, and muscle properties on sport performance. Forward dynamic computational models also offer a unique opportunity to study sport injuries without exposing human subjects to unacceptable risks. This keynote presentation will present methods for forward dynamic musculoskeletal modeling, and their application towards our long-term goal of preventing anterior cruciate ligament (ACL) injuries in sport.