Motion Detection Strategies for Epileptic Seizure Patients Based on Inertial Sensor Data

Inquiry of inertial sensory data to monitor and detect seizure sequences in epileptic patients is investigated via experiments and response analysis as well as classification. Experimental motion data incurred from a patient suffering from epileptic seizure as well as a healthy subject employing inertial measurement sensors formed a basis for proposing a suitable detection scheme. The method based on discrete-time Poincare maps in conjunction with third moment has shown promising results. This detection scheme forms the basis of a scheme that can be employed in the classification of activities that encompass an epileptic seizure.