Abstract
Parkinson's disease (PD) is a chronic neurodegenerative disorder that affects almost 1% of the population in the age group above 60 years. The key symptom in PD is the restriction of mobility.
The progress of PD is typically documented using the Unified Parkinson's Disease Rating Scale (UPDRS), which includes a finger-tapping test. We created a measurement tool and a methodology for the objective measurement of the finger-tapping test.
We built a contactless three-dimensional (3D) capture system using two cameras and light-passive (wireless) reflexive markers. We proposed and implemented an algorithm for extracting, matching, and tracing markers.
The system provides the 3D position of spherical or hemispherical markers in real time. The system's functionality was verified with the commercial motion capture system OptiTrack.
Our motion capture system is easy to use, saves space, is transportable, and needs only a personal computer for data processing - the ideal solution for an outpatient clinic. Its features were successfully tested on 22 patients with PD and 22 healthy control subjects.