The electroencephalogram (EEG) is a fundamental tool in the diagnosis and classification of
epilepsy. In particular, Interictal Epileptiform Discharges (IEDs) reflect an increased …

Epilepsy is a neurological disorder with prevalence of about 1-2% of the world's population
(Mormann, Andrzejak, Elger & Lehnertz, 2007). It is characterized by sudden recurrent and …

The human brain is a delicate mix of neurons (brain cells), electrical impulses and
chemicals, known as neurotransmitters. Any damage has the potential to disrupt the …

Electroencephalogram (EEG) signals are known to contain signatures of stimuli that induce
brain activities. However, detecting these signatures to classify captured EEG waveforms is …

Epilepsy is a chronic brain disorder characterized by recurrent unprovoked seizures. It is
caused by alterations in normal electrical activity in the brain, leading to various clinical …

Untitled Page 1 Page 2 Page 3 Deep Learning for EEG Analysis Catarina da Silva Lourenço
Page 4 Deep Learning for EEG Analysis PROEFSCHRIFT ter verkrijging van de graad van …

The pre-diagnosis of diseases with computerized systems is widely used in recent years for
reducing diagnosis time and ratio of misdiagnosis. In this study, a pre-diagnosis system has …

Spike-wave discharges (SWD) are crucial biomarkers in the diagnosis and monitoring of
neurological disorders such as epilepsy. Accurate classification of SWD is essential for …

Epilepsy is one of the most common neurological disorders characterised by a sudden and
recurrent malfunction of the brain, a'seizure'. An electroencephalogram (EEG) has been an …

Epilepsy is a brain disease that entails a predisposition to generate seizures.
Electroencephalography (EEG) is currently the gold standard for diagnosing epilepsy. Since …