Electroencephalogram (EEG) is one of the most powerful tools that offer valuable
information related to different abnormalities in the human brain. One of these abnormalities …

Background and objectives Epilepsy is the most prevalent neurological disorder in humans
which is characterized by recurrent seizures resulting in neurologic, cognitive, psychological …

This work presents a framework for epileptic seizure detection from recorded EEG signal for
healthy and epileptic patient. Simulink has been used to model, EEG signal decomposition …

Electroencephalogram signals (EEG) have always been used in medical diagnosis.
Evaluation of the statistical characteristics of EEG signals is actually the foundation of all …

The epileptic seizure detection and classification is of great significance for clinical
diagnosis and treatment. To realize the detection and classification of epileptic seizure, this …

Background: Epilepsy causes when the repeated seizure occurs in the brain.
Electroencephalogram (EEG) test provides valuable information about the brain functions …

The uncertainty in human brain leads to the formation of epilepsy disease in human. The
automatic detection and severity analysis of epilepsy disease is proposed in this article …

Epilepsy is a neurological disorder which is most widespread in human beings after stroke.
Approximately 70% of epilepsy cases can be cured if diagnosed and medicated properly …

In this work, we have used a time–frequency domain analysis method called discrete
wavelet transform (DWT) technique. This method stand out compared to other proposed …