Interface, interaction, and intelligence in generalized brain–computer interfaces

X Gao, Y Wang, X Chen, S Gao - Trends in cognitive sciences, 2021 - cell.com
A brain–computer interface (BCI) establishes a direct communication channel between a
brain and an external device. With recent advances in neurotechnology and artificial …

[HTML][HTML] Progress in brain computer interface: Challenges and opportunities

S Saha, KA Mamun, K Ahmed, R Mostafa… - Frontiers in systems …, 2021 - frontiersin.org
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 …

A review of critical challenges in MI-BCI: From conventional to deep learning methods

Z Khademi, F Ebrahimi, HM Kordy - Journal of Neuroscience Methods, 2023 - Elsevier
Brain-computer interfaces (BCIs) have achieved significant success in controlling external
devices through the Electroencephalogram (EEG) signal processing. BCI-based Motor …

Brain computer interfaces for improving the quality of life of older adults and elderly patients

AN Belkacem, N Jamil, JA Palmer, S Ouhbi… - Frontiers in …, 2020 - frontiersin.org
All people experience aging, and the related physical and health changes, including
changes in memory and brain function. These changes may become debilitating leading to …

Automatic seizure detection based on imaged-EEG signals through fully convolutional networks

C Gómez, P Arbeláez, M Navarrete… - Scientific reports, 2020 - nature.com
Seizure detection is a routine process in epilepsy units requiring manual intervention of well-
trained specialists. This process could be extensive, inefficient and time-consuming …

Improving user experience of SSVEP BCI through low amplitude depth and high frequency stimuli design

S Ladouce, L Darmet, JJ Torre Tresols, S Velut… - Scientific Reports, 2022 - nature.com
Abstract Steady-States Visually Evoked Potentials (SSVEP) refer to the sustained rhythmic
activity observed in surface electroencephalography (EEG) in response to the presentation …

Brain–computer interfaces based on code-modulated visual evoked potentials (c-VEP): a literature review

V Martínez-Cagigal, J Thielen… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. Code-modulated visual evoked potentials (c-VEP) have been consolidated in
recent years as robust control signals capable of providing non-invasive brain–computer …

[HTML][HTML] Estimating and approaching the maximum information rate of noninvasive visual brain-computer interface

N Shi, Y Miao, C Huang, X Li, Y Song, X Chen, Y Wang… - Neuroimage, 2024 - Elsevier
An essential priority of visual brain-computer interfaces (BCIs) is to enhance the information
transfer rate (ITR) to achieve high-speed communication. Despite notable progress …

Enhanced accuracy for multiclass mental workload detection using long short-term memory for brain–computer interface

U Asgher, K Khalil, MJ Khan, R Ahmad, SI Butt… - Frontiers in …, 2020 - frontiersin.org
Cognitive workload is one of the widely invoked human factors in the areas of human–
machine interaction (HMI) and neuroergonomics. The precise assessment of cognitive and …

Blink-To-Live eye-based communication system for users with speech impairments

M Ezzat, M Maged, Y Gamal, M Adel, M Alrahmawy… - Scientific Reports, 2023 - nature.com
Eye-based communication languages such as Blink-To-Speak play a key role in expressing
the needs and emotions of patients with motor neuron disorders. Most invented eye-based …