Simple Summary This study represents a resourceful review article that can deliver
resources on neurological diseases and their implemented classification algorithms to …

Electroencephalography (EEG) is the signal of intrigue that has immense application in the
clinical diagnosis of various neurological, psychiatric, psychological, psychophysiological …

Epileptic seizures are one of the most crucial neurological disorders, and their early
diagnosis will help the clinicians to provide accurate treatment for the patients. The …

Electroencephalogram (EEG) signals are non-linear and non-stationary in nature. The
phase-space representation (PSR) method is useful for analysing the non-linear …

In recent years, automated seizure identification with electroencephalogram (EEG) signals
has received considerable attention and appears to be an appropriate approach for …

Epilepsy is a disorder of the brain characterized by seizures and requires constant
monitoring particularly in serious patients. Electroencephalogram (EEG) signals are …

The electroencephalogram (EEG) motor imagery (MI) signals are the widespread paradigms
in the brain-computer interface (BCI). Its significant applications in the gaming, robotics, and …

EEG is a common and safe test that uses small electrodes to record electrical signals from
the brain. It has a broad range of applications in medical diagnosis, including diagnosis of …

The electroencephalogram (EEG) based motor imagery (MI) signal classification, also
known as motion recognition, is a highly popular area of research due to its applications in …

Epilepsy is one of the dreaded conditions that had taken billions of people under its cloud
worldwide. Detecting the seizure at the correct time in an individual is something that …