Algorithms for computing indexes of neurological gait abnormalities in patients after dbs surgery for parkinson disease based on motion capture data

The motion capture (MOCAP) technology is becoming very useful in medical applications, such as orthopedics, neurology and physical therapy. In the literature there are already studies of using MOCAP measurements for diagnosis of gait abnormalities. In this paper, we present an algorithm for computation of important indexes defining abnormalities of the gait for a unified MOCAP data standard, namely for the ASF/AMC MOCAP data recording and storage system. We also present preliminary experimental results on examination of Parkinson's disease (PD) for a bilateral subthalamic nucleus stimulation patient in the MOCAP laboratory.