T
Thor F. Besier
Researcher at University of Auckland
Publications - 192
Citations - 11232
Thor F. Besier is an academic researcher from University of Auckland. The author has contributed to research in topics: Knee Joint & Medicine. The author has an hindex of 47, co-authored 171 publications receiving 9558 citations. Previous affiliations of Thor F. Besier include VA Palo Alto Healthcare System & United States Department of Veterans Affairs.
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Journal ArticleDOI
An EMG-driven musculoskeletal model to estimate muscle forces and knee joint moments in vivo.
David Lloyd,Thor F. Besier +1 more
TL;DR: The modelling method presented represents a good way to estimate in vivo muscle forces during movement tasks and changing the muscle model to one that is more physiologically correct produced better predictions.
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Neuromusculoskeletal Modeling: Estimation of Muscle Forces and Joint Moments and Movements From Measurements of Neural Command
TL;DR: The focus of this paper is on the details involved in the first two steps of forward dynamic neuromusculoskeletal modeling, since these are the most challenging to the biomechanician.
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Repeatability of gait data using a functional hip joint centre and a mean helical knee axis.
TL;DR: The purpose of this paper was to compare the repeatability of gait data obtained from two models, one based on ALs, and the other incorporating a functional method to define hip joint centres and a mean helical axis to define knee joint flexion/extension axes (FUN model).
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Grand Challenge Competition to Predict In Vivo Knee Loads
Benjamin J. Fregly,Thor F. Besier,David Lloyd,Scott L. Delp,Scott A. Banks,Marcus G. Pandy,Darryl D. D'Lima +6 more
TL;DR: An annual “Grand Challenge Competition to Predict In Vivo Knee Loads” based on a series of comprehensive publicly available in vivo data sets for evaluating musculoskeletal model predictions of contact and muscle forces in the knee is introduced.
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External loading of the knee joint during running and cutting maneuvers.
TL;DR: The combined external moments applied to the knee joint during stance phase of the cutting tasks are believed to place the ACL and collateral ligaments at risk of injury, particularly at knee flexion angles between 0 degrees and 40 degrees, if appropriate muscle activation strategies are not used to counter these moments.