An Approach To Generate Noncontact ACL-injury Prone Situations On A Computer Using Kinematic Data Of Non-injury Situations And Monte Carlo Simulation

R. Eberle, D. Heinrich, A. J. van den Bogert, M. Oberguggenberger, W. Nachbauer

    Research output: Contribution to journalArticlepeer-review

    Abstract

    ACL-injuries are one of the most common knee injuries in noncontact sports. Kinematic data of injury prone situations provide important information to study the underlying ACL-injury mechanisms. However, these data are rare. In this work an approach is presented to generate injury prone situations for noncontact ACL-injuries on a computer. The injury prone situations are generated by a musculoskeletal simulation model using kinematic data of a non-injury situation and the method of Monte Carlo simulation. The approach is successfully applied to generate injury prone landings in downhill ski racing. The characteristics of the obtained injury prone landings are consistent with video recordings of injury cases.

    Original languageAmerican English
    JournalComputer Methods in Biomechanics and Biomedical Engineering
    Volume22
    DOIs
    StatePublished - Jan 2 2019

    Keywords

    • ACL-injuries
    • musculoskeletal simulation
    • Monte Carlo simulation
    • optimal control

    Disciplines

    • Mechanical Engineering

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