EFFORT EVALUATION OF CHILDREN WITH CEREBRAL PALSY IN ROBOTIC TREADMILL THERAPY WITH AND WITHOUT MOTIVATION

Abstract

Although the task-specific robot treadmill therapies can improve gait performance of children with cerebral palsy, not all the institutions have the possibility to access to the sensor robot information to obtain quantitative measures related actual progress of the children. The aim of this study is to propose a computer vision system to investigate the effort of children with cerebral palsy during robot treadmill therapy. Ten participants diagnosed with cerebral palsy underwent single robot therapy sessions consisting of a motivated period (active: kicking a ball), followed by an unmotivated period (passive: simple walking). The outcome measure was the ankle trajectory recorded by a video camera. Indexes based on the ankle trajectory between active and passive therapy were computed: (a) the gait analysis based on the difference on a sample-by-sample manner, and b) the step cycles with dynamic time warping (DTW). Inference statistical analysis shows that the robot trajectories for passive and active therapies with the gait analysis presents statistical differences (p-[Formula: see text]. Likewise, DTW showed significant differences in robot trajectories related to passive and active therapy (p-[Formula: see text]. We found that the statistical differences are independent of the severity of central gait impairment. This suggests that information about patient involvement could be given to the therapist and could be used to assess patient participation. The method showed the potential to be used as a tool for the assessment the improvement progress.