Epilepsy is a neurological disorder that affects approximately fifty million people according to
the World Health Organization. While electroencephalography (EEG) plays important roles …

Background Genetic rat models for childhood absence epilepsy have become instrumental
in developing theories on the origin of absence epilepsy, the evaluation of new and …

Introduction: The diagnosis of epilepsy takes a certain process, depending entirely on the
attending physician. However, the human factor may cause erroneous diagnosis in the …

Computerized detection of epileptiform transients (ETs), also called spikes and sharp waves,
in the electroencephalogram (EEG) has been a research goal for the last 40years. A reliable …

According to the survey, brain abnormal mortality rate is increased up to 86% due to the
severe effect of brain injuries, brain tumor, brain stork and other genetic mutations. The brain …

We present two techniques utilizing independent component analysis (ICA) to remove large
muscle artifacts from transcranial magnetic stimulation (TMS)-evoked EEG signals. The first …

We analysed the electroencephalogram (EEG) from Alzheimer's disease (AD) patients with
two nonlinear methods: approximate entropy (ApEn) and auto mutual information (AMI) …

One of the most common neurological disorders is epilepsy, which disturbs the nerve cell
activity in the brain, causing seizures. Electroencephalography (EEG) signals are used to …

Background The traditional EEG features in the time and frequency domain show limited
seizure detection performance in the epileptic population with intellectual disability (ID). In …

Brain interictal epileptiform discharges (IEDs), as one of the hallmarks of epileptic brain, are
transient events captured by electroencephalogram (EEG). IEDs are generated by seizure …