IEEE/EMBS Benelux location:Leuven/Brussels date:1-2 December 2011
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%.