An approach to generate noncontact ACL-injury prone situations on a computer using kinematic data of non-injury situations and Monte Carlo simulation

  • Eberle
  • , Heinrich
  • , A J van den Bogert
  • , Oberguggenberger
  • , Nachbauer

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

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 languageEnglish
Pages (from-to)3-10
Number of pages8
JournalComputer Methods in Biomechanics and Biomedical Engineering
Volume22
Issue number1
DOIs
StatePublished - Jan 2 2019

Keywords

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

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