Epilepsy is a neurological disorder of the brain that causes frequent occurrence of seizures.
Electroencephalography (EEG) is a tool that assists neurologists in detecting epileptic …

Transformer architectures have become increasingly popular in healthcare applications.
Through outstanding performance in natural language processing and superior capability to …

The intelligent recognition of epileptic electro-encephalogram (EEG) signals is a valuable
tool for the epileptic seizure detection. Recent deep learning models fail to fully consider …

This study proposes a new model which is fully specified for automated seizure onset
detection and seizure onset prediction based on electroencephalography (EEG) …

Objective: This paper investigates the multivariate oscillatory nature of
electroencephalogram (EEG) signals in adaptive frequency scales for epileptic seizure …

Epilepsy is a neurological illness caused by abnormal discharge of brain neurons, where
epileptic seizure can lead to life-threatening emergencies. By analyzing the encephalogram …

We present a multi-objective optimization method for electroencephalographic (EEG)
channel selection based on the non-dominated sorting genetic algorithm (NSGA) for …

Epilepsy is a common nervous system disease that is characterized by recurrent seizures.
An electroencephalogram (EEG) records neural activity, and it is commonly used for the …

In this paper, the performance of the phase space representation in interpreting the
underlying dynamics of epileptic seizures is investigated and a novel patient-specific seizure …

This paper presents a novel feature extraction approach for motor imagery classification
overcoming the weakness of conventional common spatial pattern (CSP) methods …