[Webcast] - Prediction of Kinetic Variables during Parkinsonian Gait

Описание: Join us to learn how researchers from the Department of Kinesiology and Sport Sciences at University of Miami, Florida are using musculoskeletal modeling to investigate kinetics of patients with Parkinson's disease.

In this webcast Associate Professor Moataz Eltoukhy, Ph.D. will show how the AnyBody platform was used to drive a full body musculoskeletal model using a single depth sensor to predict the ground reaction forces produced during over-ground forward gait in elderly population diagnosed with Parkinson’s disease (PD).

This research was driven by the fact that kinetic gait abnormalities result in reduced mobility among individuals with PD, and that currently, the assessment of gait kinetics can only be achieved using costly force plates, which makes it difficult to implement in most clinical settings. Also, the Microsoft Kinect v2 has been shown to be a feasible clinic-based alternative to more sophisticated three-dimensional motion analysis systems in producing acceptable spatiotemporal and kinematic gait parameters.

Therefore, in this study, they aimed to validate a Kinect- driven musculoskeletal model using the AnyBody modeling system to predict three-dimensional ground reaction forces (GRFs) during gait in patients with PD.

Presenter: Associate Professor Moataz Eltoukhy, Ph.D., Department of Kinesiology and Sport Sciences at University of Miami, Florida