Determining the accuracy, reliability, validity and responsiveness of video-perceptual motion analysis using Microsoft Kinect (VALKINECT)

Multiple sclerosis (MS) and Parkinson's disease (PD) can interfere with a person’s motor control – for example, individuals may experience disturbances in gait, or a range of other difficulties when attempting to execute specific movements. For some patients, this is a clear clinical condition with consequences that impair their everyday lives. For others, symptoms are less obvious and can only be found by a physician; at times, these disturbances may not come to light until conditions have worsened and the patient is under considerable stress. Motion analysis technology could be a way to find these problems sooner. By mapping changes in a person’s motor system at earlier stages, this technology may have the potential to catch signs of disturbance even before an experienced practitioner could. 

The Valkinect study therefore aims to investigate whether analysis using an infrared video camera (Microsoft Kinect®), the same kind used in game consoles, might be a viable method for detecting the motor system disturbances that result from neurological disease. For this purpose, we would like to use video analysis to examine patients with multiple sclerosis (MS) and Parkinson's disease (PD), while also using the same technology to examine a group of healthy individuals. After these examinations, we can compare and analyze the results between the patients and the control group.

Principle Investigators:
Prof. Dr. med. Friedemann Paul (head of the Clinical Neuroimmunology Group at NCRC) and Priv.-Doz. Dr. med. Tanja Schmitz-Hübsch (Clinical Neuroimmunology, NCRC)

Drebinger, D., L. Rasche, D. Kroneberg, P. Althoff, J. Bellmann-Strobl, M. Weygandt, F. Paul, A. U. Brandt, and T. Schmitz-Hubsch. "Association between Fatigue and Motor Exertion in Patients with Multiple Sclerosis-a Prospective Study." Front Neurol 11 (2020): 208.