Over the past decade, many researchers have come up with different implementations of
systems for decoding covert or imagined speech from EEG (electroencephalogram). They …

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

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

As it was mentioned in the previous part of this work (Part I)—the advanced signal
processing methods are one of the quickest and the most dynamically developing scientific …

The EEG signals are regularly blended with sources like Electrooculogram, Electromyogram
and few other artifacts caused by physical or signal interferences. The presence of artifacts …

One of the major problems associated with the motor imagery (MI) electroencephalogram
(EEG) based brain-computer interface (BCI) classifications is the informative ambiguities …

Electro-encephalogram (EEG) signals are corrupted with numerous noises while recording
itself which changes the attributes of physiological data. In this research, a swarm …

Electroencephalography (EEG) signals are frequently used in several areas, such as
diagnosis of diseases and BCI applications. It is important to remove noise sources for …

The Electroencephalogram (EEG) recordings from the frontal lobe of the human brain help
in analyzing several important brain functions like motor functions, problem-solving skills …

Cardiovascular or electrocardiogram signals (ECG) are contaminated by various artefacts
while recording which in turn degrades the quality of the vital information present in the …