This project will focus on biomechanical analysis for clinical applications, more precisely on the evaluation of the knee joint movement for a better understanding and diagnosis of knee joint injuries and pathologies.
GATOR by PreciX is used to collect 3D Knee kinematics data during various movement activities by patients. This time series data is multidimensional and complex which demands use of ML based techniques for analysis.
The main purpose of this study is to develop algorithms to analyse altered movement patterns in knee osteoarthritis (OA) patients. Understanding kinematic patterns in patients with functional impairments will help early diagnosis of OA and develop treatment options.
This will include identifying distinguishing features in the clinically referred movement exercises performed by the subjects and successful training machine learning models for diagnosis. Precix has a library of biomechanics datasets with different movement profiles to be used during the project.
