HOU , Jen-Cheng

Epilepsy is a neurological disorder caused by abnormal neuron activity in the brain. Around 1% of the population worldwide is affected by it. Numerous motor manifestations (including convulsions, tonic, clonic, hyperkinetic changes) can be observed and are a source of major disability for patients. The motivation of this research is to develop...

To investigate the accuracy of deep learning methods applied to seizure video data, in discriminating individual semiologic features of dystonia and emotion in epileptic seizures. A dataset of epileptic seizure videos was used from patients explored with stereo-EEG for focal pharmacoresistant epilepsy. All patients had hyperkinetic (HKN)...

In this work, we propose a multi-stream approach with knowledge distillation to classify epileptic seizures and psychogenic non-epileptic seizures. The proposed framework utilizes multi-stream information from keypoints and appearance from both body and face. We take the detected keypoints through time as spatio-temporal graph and train it with...

Seizure events feature temporary abnormalities in muscle control or movements. They are usually caused by excessive neuronal activities in the brain, and are called epileptic seizures (ES). Nevertheless, not all seizures are epileptic in origin. Some are caused by psychological reasons, and such type of seizures are called psychogenic...

Objectives.-Rhythmic, stereotyped movements occur in some epileptic seizures. We aimed to document time-evolving frequencies of antero-posterior rocking occurring during prefrontal seizures, using a quantitative video analysis. Methods.-Six seizures from 3 patients with prefrontal epilepsy yet different sublobar local-izations were analyzed...

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