Evaluation of hemiplegia caused by stroke by using joint detection of depth sensors—case of SIAS

Abstract

Stroke Impairment Analysis Set (SIAS) is a set of evaluation methods of the hemiplegia body caused by stroke. The score of the test is made by visual examiners. However, the decisions are often different between them. Thus, the purpose of this study is to make an automatic evaluation system for the SIAS by using depth sensors. Kinect and Leap Motion are used to evaluate the proximal and distal upper extremity tests and the proximal lower extremity test in SIAS. The evaluation of these tests is based on the time difference of left and right cases, and the smoothness. If both of left and right motions are roughly the same and the motion is smooth enough, the score is 5, otherwise the score is decreased to between 4 and 0. The perfect match ratio between the system output and therapist judged is 65-75% and it can be higher than this if similar judgments are partially added to the score. In experimental results, this system has been shown to yield reasonable scores for the knee-mouth test, the finger test and the hip flexion test in motor function of SIAS.