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Computing Muscle, Ligament, and Osseous Contributions to the Elbow Varus Moment During Baseball Pitching

Overview of attention for article published in Annals of Biomedical Engineering, October 2014
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Title
Computing Muscle, Ligament, and Osseous Contributions to the Elbow Varus Moment During Baseball Pitching
Published in
Annals of Biomedical Engineering, October 2014
DOI 10.1007/s10439-014-1144-z
Pubmed ID
Authors

James H. Buffi, Katie Werner, Tom Kepple, Wendy M. Murray

Abstract

Baseball pitching imposes a dangerous valgus load on the elbow that puts the joint at severe risk for injury. The goal of this study was to develop a musculoskeletal modeling approach to enable evaluation of muscle-tendon contributions to mitigating elbow injury risk in pitching. We implemented a forward dynamic simulation framework that used a scaled biomechanical model to reproduce a pitching motion recorded from a high school pitcher. The medial elbow muscles generated substantial, protective, varus elbow moments in our simulations. For our subject, the triceps generated large varus moments at the time of peak valgus loading; varus moments generated by the flexor digitorum superficialis were larger, but occurred later in the motion. Increasing muscle-tendon force output, either by augmenting parameters associated with strength and power or by increasing activation levels, decreased the load on the ulnar collateral ligament. Published methods have not previously quantified the biomechanics of elbow muscles during pitching. This simulation study represents a critical advancement in the study of baseball pitching and highlights the utility of simulation techniques in the study of this difficult problem.

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Geographical breakdown

Country Count As %
Unknown 120 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 16%
Student > Ph. D. Student 17 14%
Researcher 14 12%
Other 10 8%
Student > Bachelor 8 7%
Other 20 17%
Unknown 32 27%
Readers by discipline Count As %
Engineering 28 23%
Medicine and Dentistry 19 16%
Sports and Recreations 18 15%
Nursing and Health Professions 6 5%
Agricultural and Biological Sciences 2 2%
Other 7 6%
Unknown 40 33%