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

[+] Author Affiliations
Samuel F. Asokanthan, Babak Kamalizonouzi, Ajay Valiathan

Western University, London, ON, Canada

Paper No. DETC2014-35678, pp. V003T12A001; 2 pages
  • ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 3: 16th International Conference on Advanced Vehicle Technologies; 11th International Conference on Design Education; 7th Frontiers in Biomedical Devices
  • Buffalo, New York, USA, August 17–20, 2014
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-4634-6
  • Copyright © 2014 by ASME


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.

Copyright © 2014 by ASME
Topics: Sensors



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