Epilepsy is a common neurological disorder, and epileptic seizure detection is a scientific
challenge since sometimes patient do not experience any alert. The objective of this …

The recording of seizures is of primary interest in the evaluation of epileptic patients. Seizure
is the phenomenon of rhythmicity discharge from either a local area or the whole brain and …

Epileptic seizure Disease is a substantial health burden and cause of death worldwide. For
epileptic seizure localization and classification, It's critical to be able to detect recorded …

Automated seizure detection system based on electroencephalograms (EEG) is an
interdisciplinary research problem between computer science and neuroscience. Epileptic …

Epileptic seizure detection is a challenging research topic. The objective of this research is
to analyze the performance of various classification techniques while detecting the epileptic …

Epilepsy is a well-known neuronal disorder that can be identified by interpretation of the
electroencephalogram (EEG) signal. Usually, the length of an EEG signal is quite long which …

In machine learning based seizure detection research studies, the number of features
directly affects the performance of models. In order to decrease the amount of features under …

Epilepsy is a neurological disorder which causes abnormal brain activity such as seizures.
Electroencephalogram (EEG) signals are recordings of the electrical activity of brain, which …

In the automatic detection of epileptic seizures, the monitoring of critically ill patients with
time varying EEG signals is an essential procedure in intensive care units. There is an …

Epilepsy is one of the most common neurological disorders typically characterized by
recurrent and uncontrollable seizures, which seriously affects the quality of life of epilepsy …