The popular brain monitoring method of electroencephalography (EEG) has seen a surge in
commercial attention in recent years, focusing mostly on hardware miniaturization. This has …

An electroencephalography (EEG)-based brain–computer interface (BCI) is a system that
provides a pathway between the brain and external devices by interpreting EEG. EEG …

Abstract Objective. Deep learning (DL)-based brain–computer interface (BCI) in motor
imagery (MI) has emerged as a powerful method for establishing direct communication …

Objective Electroencephalogram (EEG) based motor imagery (MI) classification is an
important aspect in brain-machine interfaces (BMIs) which bridges between neural system …

Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

Technology is continually undergoing a constituent development caused by the appearance
of billions new interconnected “things” and their entrenchment in our daily lives. One of the …

Dry electrode electroencephalogram (EEG) recording combined with wireless data
transmission offers an alternative tool to conventional wet electrode EEG systems. However …

Since the discovery of the EEG principles by Berger in the 20's, procedures for artifact
removal have been essential in its pre-processing. In literature, diverse approaches based …

Mobile electroencephalography (mobile EEG) represents a next-generation neuroscientific
technology–to study real-time brain activity–that is relatively inexpensive, non-invasive and …

Recent advances in electrodes for noninvasive recording of electroencephalograms expand
opportunities collecting such data for diagnosis of neurological disorders and brain …