Arduino based Prognostic Tool for Cerebral Palsy

Abstract

Cerebral Palsy (CP) is a group of disorder that affects a person's ability to move and maintain balance and posture. Since Cerebral Palsy is non progressive disease, the condition does not get better or worse as times goes on. But several symptoms can be improved and managed with adequate treatment. Through Electromyogram (EMG) signal it is possible to study the response of cerebral palsy patient to the therapeutic exercises commonly prescribed by physiotherapists. The use of this prognostic tool is to predict whether the condition of the patient is improved in future or not. MATLAB is used to calculate parameters such as Root Mean Square (RMS) and Average Rectified Value (ARV) from muscle potential of both healthy and Cerebral Palsy participants. The findings imply that abnormal subjects have higher muscular potential than normal subjects. This rationale will be used as a criterion to track the progress of cerebral palsy patients.