Electroencephalogram (EEG) plays an important role in identifying brain activity and
behavior. However, the recorded electrical activity always be contaminated with artifacts and …

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

Sleep is a crucial part of the daily activity patterns of mammals. However, in marine species
that spend months or entire lifetimes at sea, the location, timing, and duration of sleep may …

The electrical potential produced by the cardiac activity sometimes contaminates
electroencephalogram (EEG) recordings, resulting in spiky activities that are referred to as …

An automatic electroencephalogram (EEG) artifact removal method is presented in this
paper. Compared to past methods, it has two unique features: 1) a weighted version of …

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 …

We propose a combination of blind source separation (BSS) and independent component
analysis (ICA)(signal decomposition into artifacts and nonartifacts) with support vector …

Objectives: Eye blink artifact detection in scalp electroencephalogram (EEG) of epilepsy
patients is challenging due to its similar waveforms to epileptiform discharges. Developing …

Functional connectivity (FC) metrics describe brain inter-regional interactions and may
complement information provided by common power-based analyses. Here, we investigated …

Electroencephalogram (EEG) is a common tool for medical diagnosis, cognitive research,
and managing neurological disorders. However, EEG is usually contaminated with various …