Probabilistic musculoskeletal modeling of the knee: A preliminary examination of an ACL-reconstruction

Megan J. Barry, Tae Hyun Kwon, Yasin Y. Dhaher

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

In this study, a detailed uncertainty analysis was performed to place probability limits on model predictions for both uninjured and ACL-reconstructed joints. We investigated the effect of uncertainty in connective tissue intrinsic properties on the predicted kinematics and kinetics of the human joint under combined quadriceps and external loading observed during the load acceptance phase of the gait cycle. Our findings indicated that, on average, the ACL-reconstruction procedure using a patellar tendon graft increased the tibiofemoral joint adduction and internal rotation angles over the load acceptance phase. Our findings highlight one of the main features of the current construct; that is, model predictions are described in terms of their probabilistic properties. In the context of surgical evaluations, such properties define the level of likelihood that a given intervention can recover normal joint function.

Original languageEnglish (US)
Title of host publication2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Pages5440-5443
Number of pages4
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina
Duration: Aug 31 2010Sep 4 2010

Publication series

Name2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Other

Other2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Country/TerritoryArgentina
CityBuenos Aires
Period8/31/109/4/10

ASJC Scopus subject areas

  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Health Informatics

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