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.

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