Epilepsy is one of the most common neurological diseases of the human brain. It affects the
nervous system of brain which shows the impact on an individual's life because of its …

The EEG signal consist various frequency bands, which represents human activities like
emotion, attention sleep stage etc. For the detection of epileptical seizures, it is required to …

Epilepsy disease is one of the most prevalent neurological disorders caused by malfunction
of large symptoms number of neurons. That's lead us to propose an automated approach to …

This article implements novel epileptic seizure detection by EEG signal that includes various
phases: Feature extraction, Feature selection, and Classification. Originally, the input EEG …

Electroencephalogram (EEG) signals, generated during the neuron firing, are an effective
way of predicting such seizure and it is used widely in recent days for classifying and …

Epilepsy is one of the most predominant disorders of neurology that affects the overall
population, especially the people living in developing countries. The hospitals and …

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 …

Epilepsy is a neurological illness that can strike anyone at any time in their life. However, a
person with epilepsy will experience frequent to uncommon seizures, resulting in death …

Electroencephalography (EEG) is considered as a potential tool for diagnosis of epilepsy in
clinical applications. Epileptic seizures occur irregularly and unpredictably. Its automatic …

In this paper, a hybrid method using fuzzy entropy (FuzzyEn)-based features obtained from
EEG signals in the FrFT-WPT domain is proposed for seizure detection. We have explored …