Objective: Electroencephalography (EEG) is a non-invasive technique used to record
cortical neurons' electrical activity using electrodes placed on the scalp. It has become a …

Electroencephalogram (EEG), boasting the advantages of portability, low cost, and
hightemporal resolution, is a non-invasive brain-imaging modality that can be used to …

The electroencephalography (EEG) signal is corrupted with some non-cerebral activities
due to patient movement during signal measurement. These non-cerebral activities are …

As one of the most challenging data analysis tasks in chronic brain diseases, epileptic
seizure prediction has attracted extensive attention from many researchers. Seizure …

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

Inherent fuzzy entropy is an objective measurement of electroencephalography (EEG)
complexity reflecting the robustness of brain systems. In this study, we present a novel …

Electroencephalography (EEG) signals are often contaminated with artifacts. It is imperative
to develop a practical and reliable artifact removal method to prevent the misinterpretation of …

In recent years, the usage of portable electroencephalogram (EEG) devices are becoming
popular for both clinical and non-clinical applications. In order to provide more comfort to the …

Drivers cognitive and physiological states affect their ability to control their vehicles. Thus,
these driver states are important to the safety of automobiles. The design of advanced driver …

This study explores responses to ketamine in patients with treatment-resistant depression
(TRD) using a wearable forehead electroencephalography (EEG) device. We recruited and …