Interface, interaction, and intelligence in generalized brain–computer interfaces
A brain–computer interface (BCI) establishes a direct communication channel between a
brain and an external device. With recent advances in neurotechnology and artificial …
brain and an external device. With recent advances in neurotechnology and artificial …
EEG-based brain-computer interfaces (BCIs): A survey of recent studies on signal sensing technologies and computational intelligence approaches and their …
Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact
with the environment. Recent advancements in technology and machine learning algorithms …
with the environment. Recent advancements in technology and machine learning algorithms …
Transfer learning for EEG-based brain–computer interfaces: A review of progress made since 2016
A brain–computer interface (BCI) enables a user to communicate with a computer directly
using brain signals. The most common noninvasive BCI modality, electroencephalogram …
using brain signals. The most common noninvasive BCI modality, electroencephalogram …
The PREP pipeline: standardized preprocessing for large-scale EEG analysis
The technology to collect brain imaging and physiological measures has become portable
and ubiquitous, opening the possibility of large-scale analysis of real-world human imaging …
and ubiquitous, opening the possibility of large-scale analysis of real-world human imaging …
[HTML][HTML] Progress in brain computer interface: Challenges and opportunities
Brain computer interfaces (BCI) provide a direct communication link between the brain and a
computer or other external devices. They offer an extended degree of freedom either by …
computer or other external devices. They offer an extended degree of freedom either by …
Real-time neuroimaging and cognitive monitoring using wearable dry EEG
Goal: We present and evaluate a wearable high-density dry-electrode EEG system and an
open-source software framework for online neuroimaging and state classification. Methods …
open-source software framework for online neuroimaging and state classification. Methods …
The temple university hospital EEG data corpus
The electroencephalogram (EEG) is an excellent tool for probing neural function, both in
clinical and research environments, due to its low cost, non-invasive nature, and …
clinical and research environments, due to its low cost, non-invasive nature, and …
[HTML][HTML] Mobile EEG in research on neurodevelopmental disorders: Opportunities and challenges
A Lau-Zhu, MPH Lau, G McLoughlin - Developmental cognitive …, 2019 - Elsevier
Mobile electroencephalography (mobile EEG) represents a next-generation neuroscientific
technology–to study real-time brain activity–that is relatively inexpensive, non-invasive and …
technology–to study real-time brain activity–that is relatively inexpensive, non-invasive and …
Multi-channel EEG recordings during a sustained-attention driving task
We describe driver behaviour and brain dynamics acquired from a 90-minute sustained-
attention task in an immersive driving simulator. The data included 62 sessions of 32 …
attention task in an immersive driving simulator. The data included 62 sessions of 32 …
Wireless and wearable EEG system for evaluating driver vigilance
Brain activity associated with attention sustained on the task of safe driving has received
considerable attention recently in many neurophysiological studies. Those investigations …
considerable attention recently in many neurophysiological studies. Those investigations …