Trends in EEG-BCI for daily-life: Requirements for artifact removal

J Minguillon, MA Lopez-Gordo, F Pelayo - Biomedical Signal Processing …, 2017 - Elsevier
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 …

[HTML][HTML] Hybrid brain–computer interface techniques for improved classification accuracy and increased number of commands: a review

KS Hong, MJ Khan - Frontiers in neurorobotics, 2017 - frontiersin.org
In this paper, hybrid brain-computer interface (hBCI) technologies for improving
classification accuracy and increasing the number of commands are reviewed. Hybridization …

Real-time decoding of question-and-answer speech dialogue using human cortical activity

DA Moses, MK Leonard, JG Makin, EF Chang - Nature communications, 2019 - nature.com
Natural communication often occurs in dialogue, differentially engaging auditory and
sensorimotor brain regions during listening and speaking. However, previous attempts to …

A systematic review of hybrid brain-computer interfaces: Taxonomy and usability perspectives

I Choi, I Rhiu, Y Lee, MH Yun, CS Nam - PloS one, 2017 - journals.plos.org
A new Brain-Computer Interface (BCI) technique, which is called a hybrid BCI, has recently
been proposed to address the limitations of conventional single BCI system. Although some …

A hybrid asynchronous brain-computer interface combining SSVEP and EOG signals

Y Zhou, S He, Q Huang, Y Li - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Objective: A challenging task for an electroencephalography (EEG)-based asynchronous
brain-computer interface (BCI) is to effectively distinguish between the idle state and the …

A novel hybrid mental spelling application based on eye tracking and SSVEP-based BCI

P Stawicki, F Gembler, A Rezeika, I Volosyak - Brain sciences, 2017 - mdpi.com
Steady state visual evoked potentials (SSVEPs)-based Brain-Computer interfaces (BCIs), as
well as eyetracking devices, provide a pathway for re-establishing communication for people …

Classification of bipolar disorder and schizophrenia using steady-state visual evoked potential based features

F Alimardani, JH Cho, R Boostani, HJ Hwang - IEEE Access, 2018 - ieeexplore.ieee.org
The accurate discrimination between bipolar disorder (BD) and schizophrenic patients is
crucial because of the considerable overlap between their clinical signs and symptoms (eg …

On the relative contribution of deep convolutional neural networks for SSVEP-based bio-signal decoding in BCI speller applications

JJ Podmore, TP Breckon, NKN Aznan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Brain-computer interfaces (BCI) harnessing steady state visual evoked potentials (SSVEPs)
manipulate the frequency and phase of visual stimuli to generate predictable oscillations in …

Combining brain-computer interface and eye tracking for high-speed text entry in virtual reality

X Ma, Z Yao, Y Wang, W Pei, H Chen - Proceedings of the 23rd …, 2018 - dl.acm.org
Gaze interaction provides an efficient way for users to communicate and control in virtual
reality (VR) presented by head-mounted displays. In gaze-based text-entry systems, eye …

A hybrid speller design using eye tracking and SSVEP brain–computer interface

MMN Mannan, MA Kamran, S Kang, HS Choi… - Sensors, 2020 - mdpi.com
Steady-state visual evoked potentials (SSVEPs) have been extensively utilized to develop
brain–computer interfaces (BCIs) due to the advantages of robustness, large number of …