Electroencephalography (EEG) is the commonly employed electro-biological imaging
technique for diagnosing brain functioning. The EEG signals are used to determine head …

Epilepsy is the only neurological condition for which electroencephalography (EEG) is the
primary diagnostic and important prognostic clinical tool. However, the manual inspection of …

Epilepsy is a common brain disorder that causes patients to face multiple seizures in a
single day. Around 65 million people are affected by epilepsy worldwide. Patients with focal …

Epilepsy is a prevalent neurological disorder among numerous neurons degenerative
diseases after brain stroke. During a seizure event, there are bursts of electrical activity in …

This paper proposes a new method for epileptic seizure detection in
electroencephalography (EEG) signals using nonlinear features based on fractal dimension …

Filtering of unwanted signals has a great impact on the performance of EEG signal
processing applied to neurological disorders diagnosis. It is so difficult to remove …

Electroencephalograms (EEG) is used to assess patients' clinical records of depression
(EEG). The disorder of human thinking is a very complex problem caused by heavy-duty in …

Accurate identification of the type of seizure is very important for the treatment plan and drug
prescription of epileptic patients. Artificial intelligence has shown considerable potential in …

The joint time‐frequency analysis method represents a signal in both time and frequency.
Thus, it provides more information compared to other one‐dimensional methods. Several …

There is growing evidence that an increasing number of people suffer from mental illness,
which seriously affects their quality of life. The study of electroencephalography (EEG) is …