[HTML][HTML] Wireless EEG: A survey of systems and studies
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 …
commercial attention in recent years, focusing mostly on hardware miniaturization. This has …
Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …
review the physical principles of BCIs, and underlying novel approaches for registration …
EEG-based brain-computer interfaces using motor-imagery: Techniques and challenges
Electroencephalography (EEG)-based brain-computer interfaces (BCIs), particularly those
using motor-imagery (MI) data, have the potential to become groundbreaking technologies …
using motor-imagery (MI) data, have the potential to become groundbreaking technologies …
Electroencephalography (EEG) technology applications and available devices
M Soufineyestani, D Dowling, A Khan - Applied Sciences, 2020 - mdpi.com
The electroencephalography (EEG) sensor has become a prominent sensor in the study of
brain activity. Its applications extend from research studies to medical applications. This …
brain activity. Its applications extend from research studies to medical applications. This …
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
Artificial intelligence and all its supporting tools, eg machine and deep learning in
computational intelligence-based systems, are rebuilding our society (economy, education …
computational intelligence-based systems, are rebuilding our society (economy, education …
The future of sleep health: a data-driven revolution in sleep science and medicine
In recent years, there has been a significant expansion in the development and use of multi-
modal sensors and technologies to monitor physical activity, sleep and circadian rhythms …
modal sensors and technologies to monitor physical activity, sleep and circadian rhythms …
A review of the key technologies for sEMG-based human-robot interaction systems
K Li, J Zhang, L Wang, M Zhang, J Li, S Bao - … Signal Processing and …, 2020 - Elsevier
As physiological signals that are closely related to human motion, surface electromyography
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …
How to successfully classify EEG in motor imagery BCI: a metrological analysis of the state of the art
Objective. Processing strategies are analyzed with respect to the classification of
electroencephalographic signals related to brain-computer interfaces (BCIs) based on motor …
electroencephalographic signals related to brain-computer interfaces (BCIs) based on motor …
Comparison between a wireless dry electrode EEG system with a conventional wired wet electrode EEG system for clinical applications
Dry electrode electroencephalogram (EEG) recording combined with wireless data
transmission offers an alternative tool to conventional wet electrode EEG systems. However …
transmission offers an alternative tool to conventional wet electrode EEG systems. However …
EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks: A review
Mental disorders represent critical public health challenges as they are leading contributors
to the global burden of disease and intensely influence social and financial welfare of …
to the global burden of disease and intensely influence social and financial welfare of …