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

Brain-computer interface (BCI) based on electroencephalogram (EEG) signals can provide a
way for human to communicate with the outside world. This approach is independent of the …

Reminiscence and conversation between older adults and younger volunteers using past
photographs are very effective in improving the emotional state of older adults and …

In Electroencephalogram (EEG) research, physiological artifacts like muscle activity, heart
rhythm, and eye movements or blinks continue to be a prominent issue. It is essential to deal …

Electroencephalogram (EEG) extraction has widely used Stone's Blind Source Separation
(Stone's BSS) algorithm. However, Stone's BSS algorithm is sensitive to the initial half-life …

Removing different types of artifacts from the electroencephalography (EEG) recordings is a
critical step in performing EEG signal analysis and diagnosis. Most of the existing algorithms …

Blind source separation (BSS) is a widely adopted approach for processing biomedical
signals, particularly electroencephalography (EEG) signals, which indicate the electrical …

Considering the multichannel instability, spectral overlap and strong interference of
electromagnetic radiation signals in the integrated electric propulsion systems of ships, a …

During the treatment of deaf-mums, it has been found that patients with prelinguistic
deafness still cannot recognize what they hear after cochlear implants. That's because the …

In detecting brain activity and behavior, the Electroencephalogram (EEG) plays a key role.
The EEG signals recorded are almost always corrupted by artifacts and hence affect the …