Automated seizure detection using EEG has gained increasing attraction in recent years and
appeared more and more helpful in both diagnosis and treatment. How to design an …

Epilepsy, one of the most common neurological disorders of the human brain, is
unpredictable and irregular. There is much difficulty involved in its detection. Here, a …

Epilepsy is one of the most common neurological disorders–approximately one in every 100
people worldwide are suffering from it. The electroencephalogram (EEG) is the most …

The electroencephalogram (EEG) signal plays a key role in the diagnosis of epilepsy.
Substantial data is generated by the EEG recordings of ambulatory recording systems, and …

Background Many investigations based on nonlinear methods have been carried out for the
research of seizure detection. However, some of these nonlinear measures cannot achieve …

Single hidden Layer Feed forward Neural network (SLFN) called Optimized Extreme
Learning Machine (OELM) is proposed for the classification of EEG signals with the …

Epilepsy is one of the dreaded conditions that had taken billions of people under its cloud
worldwide. Detecting the seizure at the correct time in an individual is something that …

The neurophysiology system is a complex network of nerves and cells, which carries
messages to and from the brain and spinal cord to various parts of the body. Exploring …

Epilepsy is one of the most common neurological disorders-approximately one in every 100
people worldwide are suffering from it. In this paper, a novel pattern recognition model is …

Purpose Automatic seizure detection is significant for the diagnosis of epilepsy and the
reduction of massive workload for reviewing continuous EEG recordings. Methods …