Computational Biomechanics Lab


Seeking to make "computational rehabilitation"
a clinically valuable reality for
personalized treatment design.


Cover image, Journal of Orthopaedic Research, April 2012


Imagine a world where neurorehabilitation and orthopedic interventions are custom tailored to the patient, similar to the way suits can be custom tailored to the business executive. Rather than receiving an "off the rack" treatment, each patient receives a personalized treatment fitted to his or her unique clinical needs using a patient-specific computational model. Each model is constructed from the patient's pre-treatment movement, neural control, and imaging data and is used to perform state-of-the-art simulations that predict the patient's post-treatment function. Clinicians combine subjective clinical experience with objective computational predictions to determine which treatment and associated parameters will maximize the patient's functional outcome. In some cases, common treatment options are rejected. In others, less common treatment options are modified to improve their effectiveness. In yet others, entirely new treatment options are designed. The end result is millions of patients whose quality of life and longevity are greatly improved through the use of computational technology.

The goal of the Computational Biomechanics Lab at the University of Florida is to make this futuristic scenario a reality. The current emphasis of the lab is on using computational models to improve walking function in individuals with stroke, Parkinson's disease, or knee osteoarthritis. The primary technical fields used for this endeavor include multibody dynamics, numerical methods (especially optimization), contact mechanics, and computer programming (primarily Matlab and C++).

Feel free to explore this website to learn more about our efforts to use computational technology to improve the quality of life of individuals with movement-related disorders.