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Authors: Kris Cuppens 1 ; Bert Bonroy 2 ; Anouk Van de Vel 3 ; Berten Ceulemans 3 ; Lieven Lagae 4 ; Tinne Tuytelaars 5 ; Sabine Van Huffel 6 and Bart Vanrumste 1

Affiliations: 1 K. H. Kempen and KULeuven, Belgium ; 2 K. H. Kempen, Belgium ; 3 UZAntwerpen, Belgium ; 4 UZLeuven, Belgium ; 5 KULeuven, Belgium ; 6 KULeuven and KU Leuven, Belgium

ISBN: 978-989-8425-89-8

ISSN: 2184-4305

Keyword(s): Epilepsy, Seizure detection, Image motion analysis, Video monitoring, Optical flow, Mean shift clustering.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Methodologies and Methods ; Monitoring and Telemetry ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: Epileptic seizure detection in a home situation is often not feasible due to the complicated attachment of the EEG-electrodes on the scalp. We propose to detect nocturnal seizures with a motor component in patients 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 extraction of seven features, related to amplitude, duration and direction of the motion, we carry out a first validation with a linear support vector machine classifier. This resulted in a sensitivity of 80.60% and a positive predictive value of 62.07%.

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Paper citation in several formats:
Cuppens, K.; Bonroy, B.; Van de Vel, A.; Ceulemans, B.; Lagae, L.; Tuytelaars, T.; Van Huffel, S. and Vanrumste, B. (2012). AUTOMATIC VIDEO DETECTION OF NOCTURNAL EPILEPTIC MOVEMENT BASED ON MOTION TRACKS.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012) ISBN 978-989-8425-89-8, ISSN 2184-4305, pages 342-345. DOI: 10.5220/0003742903420345

@conference{biosignals12,
author={Kris Cuppens. and Bert Bonroy. and Anouk Van de Vel. and Berten Ceulemans. and Lieven Lagae. and Tinne Tuytelaars. and Sabine Van Huffel. and Bart Vanrumste.},
title={AUTOMATIC VIDEO DETECTION OF NOCTURNAL EPILEPTIC MOVEMENT BASED ON MOTION TRACKS},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)},
year={2012},
pages={342-345},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003742903420345},
isbn={978-989-8425-89-8},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)
TI - AUTOMATIC VIDEO DETECTION OF NOCTURNAL EPILEPTIC MOVEMENT BASED ON MOTION TRACKS
SN - 978-989-8425-89-8
AU - Cuppens, K.
AU - Bonroy, B.
AU - Van de Vel, A.
AU - Ceulemans, B.
AU - Lagae, L.
AU - Tuytelaars, T.
AU - Van Huffel, S.
AU - Vanrumste, B.
PY - 2012
SP - 342
EP - 345
DO - 10.5220/0003742903420345

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