Epileptic seizures are manifestations of epilepsy. Careful analyses of the
electroencephalograph (EEG) records can provide valuable insight and improved …

Seizure event detection by manually analyzing electroencephalogram (EEG) data is a
routine process in epilepsy units done by trained professionals. Misdiagnosis of epileptic …

The electroencephalogram (EEG) signal plays a key role in the diagnosis of epilepsy. This
study describes an automated classification of EEG signal for the detection of Epilepsy …

Electroencephalogram (EEG) measures electrical activity of the brain and proffers valuable
insight of the brain dynamics. Accurate and careful analysis of EEG signal plays a prominent …

In this paper, a comprehensive analysis of focal and non-focal electroencephalography is
carried out in the empirical mode decomposition and discrete wavelet transform domains. A …

Epilepsy is a brain disorder characterized by sudden seizures, periodic abnormal and
inappropriate behaviour, and an altered state of consciousness. The visual diagnosis of …

Epilepsy is a typical neurological issue which influence the focal sensory system and can
make individuals have seizure. It can be surveyed by electroencephalogram (EEG). A …

Epileptic seizure in patients is detected from EEG signals with the use of automatic signal
classification techniques. The accurate detection of epilepsy is essential to reduce the risk of …

The objective of this work is to identity the occurrence of seizure in an epileptic patient from
his/her Electroencephalogram (EEG) signals and also to avoid aggressive situations during …

Seizure detection from EEG signal plays important role in diagnosing and treating the
Epilepsy disease. Development of Low complexity detection algorithms is needed in order to …