Title: Detection of myoclonic shocks in nocturnal video by means of motion tracks
Authors: Cuppens, Kris
Van de Vel, Anouk
Bonroy, Bert
Ceulemans, Berten
Lagae, Lieven
Tuytelaars, Tinne
Van Huffel, Sabine
Vanrumste, Bart #
Issue Date: Dec-2011
Host Document: Proceedings of the IEEE/EMBS Benelux chapter
Conference: IEEE/EMBS Benelux location:Leuven/Brussels date:1-2 December 2011
Abstract: Video/EEG-recordings are used as golden standard to detect epileptic seizures. This detection method is often not feasible in a home situation due to the complicated attachment of EEG-electrodes on the scalp. We propose to detect nocturnal seizures with a motor component by means of a single video camera. To this end we use a combination of optical flow and mean shift clustering to register moving body parts. After the feature extraction, we carry out a first validation with a support vector machine classifier. This resulted in a sensitivity of 80.60% and a positive predictive value of 62.07%.
Publication status: published
KU Leuven publication type: IMa
Appears in Collections:ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
Health Care and Chemistry Department - Geel Campus - TM K
Division M3-BIORES: Measure, Model & Manage Bioresponses (-)
Department of Development and Regeneration - miscellaneous (+)
Pregnancy, Foetus and Newborn (-)
ESAT - PSI, Processing Speech and Images
Technologiecluster ESAT Elektrotechnische Engineering
Electrical Engineering (ESAT) TC, Technology Campus Geel
Electrical Engineering (ESAT) TC, Technology Campus Diepenbeek
# (joint) last author

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