Clinical Characterization of Movement Variability in Total Knee Arthroplasty
Improving Clinical Assessment and Rehabilitation by Incorporating Variability Measurements and Techniques
Our central hypothesis is that the assessment of variability in real world environments will provide a better characterization of healthy and total knee arthroplasty populations and will allow for the determination of the relationships between clinical measures and variability.
Master's student, Katlyn Nimtz wearing the Xsens Sensors
Current rehabilitation does not effectively prevent long-term functional deficits in individuals post-TKA. Therefore, normal levels of physical activity are not restored through arthroplasty and rehabilitation. This results in approximately half of all patients with TKA receiving a secondary joint replacement. Analysis of human movement variability can provide new and complementary insights when evaluating functional outcomes.
Dr. Knarr’s study is the first to establish relationships between non-linear analyses and clinical measures in individuals undergoing TKA. It is also the first to evaluate gait performance and variability in real-world environments. Dr. Knarr is working to develop a method for obtaining a longer-term, community evaluation of limb loading following TKA.
Drawing relationships between kinematic and kinetic data measurements and real world outcomes can be difficult as data are typically collected in a laboratory environment. This homogenous environment is not representative of the environment a patient is subjected to in their day to day lives, especially when exploring measurements of variability. Accurate characterization of movement variability in pathological populations in realistic environments brings the potential for new insights into rehabilitation practice and outcomes.