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 …

An EEG signal is used for capturing the signals from the brain, which helps in localization of
epileptogenic region, thereby which plays a vital role for a successful surgery. The focal and …

This paper presents an automated seizure detection method based on variational mode
decomposition (VMD). In VMD, the number of decomposed modes K and the penalty …

EEG (Electroencephalogram) is a technique for identifying neurological disorders. There are
various neurological disorders like Epilepsy, brain cancer, etc. Feature extraction and …

Epilepsy detection based on electroencephalogram (EEG) signal is of great significance to
diagnosis and treatment of epilepsy. The denoised EEG signal is adopted by most traditional …

Visual inspection of epileptic electroencephalogram (EEG) by neurologists is time-
consuming and tedious. To overcome the problems, numerous automated seizure detection …

Epilepsy is one of the most common complex brain disorders which is a chronic non-
communicable disease caused by paroxysmal abnormal super-synchronous electrical …

Epilepsy is a disease caused by abnormal discharges in the central nervous system.
Automatic detection and accurate identification of epileptic seizures based on …

Epilepsy is a widely spread neurological disorder caused due to the abnormal excessive
neural activity which can be diagnosed by inspecting the electroencephalography (EEG) …

Automatic seizure detection is significant for long-term monitoring of epilepsy, as well as for
diagnostics and rehabilitation, and can decrease the duration of work required when …