Modeling control adaptations during recovery from anterior cruciate ligament reconstruction

Louis A. DiBerardino, Harry Dankowicz, Elizabeth T. Hsiao-Wecksler

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

Abstract

In this paper, we aim to model a functional task affected by injury, along with the corresponding neuromuscular compensation strategy, in order to understand differences in task performance during recovery from the injury. This study is motivated by differing rates of functional task improvements during recovery from anterior cruciate ligament repair. In particular, clinical studies have shown faster recovery times for single-limb forward hopping versus single-limb crossover hopping (hopping back and forth laterally while moving forward). Modeling this hopping task will help us understand whether the main factor of the differing functional results is from the physical restrictions of the injury, the compensation strategies used to overcome these restrictions, or a combination of both. Our hypothesis is that the discrepancies in clinical functional results will be reproduced by employing a feedforward compensation strategy, where the compensation is learned and adjusted over time.

Original languageEnglish (US)
Title of host publicationBiomedical and Biotechnology Engineering
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Print)9780791856222
DOIs
StatePublished - 2013
EventASME 2013 International Mechanical Engineering Congress and Exposition, IMECE 2013 - San Diego, CA, United States
Duration: Nov 15 2013Nov 21 2013

Publication series

NameASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Volume3 B

Other

OtherASME 2013 International Mechanical Engineering Congress and Exposition, IMECE 2013
Country/TerritoryUnited States
CitySan Diego, CA
Period11/15/1311/21/13

Keywords

  • Biomechanics
  • Injury recovery
  • Rigid body modeling

ASJC Scopus subject areas

  • Mechanical Engineering

Fingerprint

Dive into the research topics of 'Modeling control adaptations during recovery from anterior cruciate ligament reconstruction'. Together they form a unique fingerprint.

Cite this