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[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 …
A comprehensive review of EEG-based brain–computer interface paradigms
Advances in brain science and computer technology in the past decade have led to exciting
developments in brain–computer interface (BCI), thereby making BCI a top research area in …
developments in brain–computer interface (BCI), thereby making BCI a top research area in …
In-ear integrated sensor array for the continuous monitoring of brain activity and of lactate in sweat
Owing to the proximity of the ear canal to the central nervous system, in-ear
electrophysiological systems can be used to unobtrusively monitor brain states. Here, by …
electrophysiological systems can be used to unobtrusively monitor brain states. Here, by …
Three-dimensional integrated stretchable electronics
Stretchable electronics is an emerging technology that creates devices with the ability to
conform to nonplanar and dynamic surfaces such as the human body. Current stretchable …
conform to nonplanar and dynamic surfaces such as the human body. Current stretchable …
Brain–computer interface spellers: A review
A Brain–Computer Interface (BCI) provides a novel non-muscular communication method
via brain signals. A BCI-speller can be considered as one of the first published BCI …
via brain signals. A BCI-speller can be considered as one of the first published BCI …
Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces
One of the most important issues for the development of a motor-imagery based brain-
computer interface (BCI) is how to design a powerful classifier with strong generalization …
computer interface (BCI) is how to design a powerful classifier with strong generalization …
[HTML][HTML] Hybrid brain–computer interface techniques for improved classification accuracy and increased number of commands: a review
In this paper, hybrid brain-computer interface (hBCI) technologies for improving
classification accuracy and increasing the number of commands are reviewed. Hybridization …
classification accuracy and increasing the number of commands are reviewed. Hybridization …
Hybrid EEG–fNIRS-based eight-command decoding for BCI: application to quadcopter control
In this paper, a hybrid electroencephalography–functional near-infrared spectroscopy (EEG–
fNIRS) scheme to decode eight active brain commands from the frontal brain region for brain …
fNIRS) scheme to decode eight active brain commands from the frontal brain region for brain …
Sparse group representation model for motor imagery EEG classification
A potential limitation of a motor imagery (MI) based brain-computer interface (BCI) is that it
usually requires a relatively long time to record sufficient electroencephalogram (EEG) data …
usually requires a relatively long time to record sufficient electroencephalogram (EEG) data …
[HTML][HTML] A hybrid steady-state visual evoked response-based brain-computer interface with MEG and EEG
While recent developments in electroencephalogram (EEG)-based brain-computer
interfaces (BCIs) have enabled a bridge between the brain and external devices with …
interfaces (BCIs) have enabled a bridge between the brain and external devices with …