AUTOMATIC VIDEO DETECTION OF NOCTURNAL EPILEPTIC MOVEMENT BASED ON MOTION TRACKS | Zendy

Kris Cuppens | Zendy; Bert Bonroy | Zendy; Anouk Van de Vel | Zendy; Berten Ceulemans | Zendy; Lieven Lagae | Zendy; Tinne Tuytelaars | Zendy; Sabine Van Huffel | Zendy; Bart Vanrumste | Zendy

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AUTOMATIC VIDEO DETECTION OF NOCTURNAL EPILEPTIC MOVEMENT BASED ON MOTION TRACKS

Author(s) -

Kris Cuppens,

Bert Bonroy,

Anouk Van de Vel,

Berten Ceulemans,

Lieven Lagae,

Tinne Tuytelaars,

Sabine Van Huffel,

Bart Vanrumste

Publication year - 2012

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5220/0003742903420345

Subject(s) - movement (music) , computer vision , computer science , artificial intelligence , motion (physics) , nocturnal , computer graphics (images) , physics , astronomy , acoustics

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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