Epilepsy is a well known neurological disorder characterized by the presence of recurrent
seizures. Electroencephalograms (EEGs) record electrical activity in the brain and are used …

Developing the automatic detection system is of great clinical significance for assisting
neurologists to detect epilepsy using electroencephalogram (EEG) signals. In this research …

Epileptic seizure detection through visual inspection of Electroencephalogram (EEG) signals
is a tedious task demanding high level expertise as well as time. Automatic seizure detection …

Epilepsy is a disease caused by abnormal electrical activity in the brain. One of the
techniques for diagnosing epilepsy is by analyzing electroencephalogram (EEG) signals …

Among the central nervous system (neurological) disorders, epilepsy is considered to be a
dangerous and chronic disorder that causes recurring seizures, showing unusual behaviour …

Background Epilepsy is a severe disorder of the central nervous system that predisposes the
person to recurrent seizures. Fifty million people worldwide suffer from epilepsy; after …

Electroencephalogram (EEG) signal-processing techniques are the prominent role in the
detection and prediction of epileptic seizures. The detection of epileptic activity is …

Purpose Manual analysis of EEG signals by an expert is very much time consuming due to
the long length of EEG recordings. The suitable computerized analysis is essentially …

A neurological condition affecting the central nerve system of people causing recurring
seizure is termed as epilepsy or seizure disorder. A seizure can be described as a brief …

Aiming at the problems of low accuracy, poor universality and functional singleness for
seizure detection, an effective approach using wavelet-based non-linear analysis and …