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

Although the task-speci¯c 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 e®ort 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 di®erence 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 di®erences (p-value < 0:01ÞÞ. Likewise, DTW showed signi¯- cant di®erences in robot trajectories related to passive and active therapy (p-value < 0:01ÞÞ. We found that the statistical di®erences 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.