A comprehensive review of EEG-based brain–computer interface paradigms

R Abiri, S Borhani, EW Sellers, Y Jiang… - Journal of neural …, 2019 - iopscience.iop.org
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 …

To train or not to train? A survey on training of feature extraction methods for SSVEP-based BCIs

R Zerafa, T Camilleri, O Falzon… - Journal of Neural …, 2018 - iopscience.iop.org
Objective. Despite the vast research aimed at improving the performance of steady-state
visually evoked potential (SSVEP)-based brain–computer interfaces (BCIs), several …

Improving the performance of individually calibrated SSVEP-BCI by task-discriminant component analysis

B Liu, X Chen, N Shi, Y Wang, S Gao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
A brain-computer interface (BCI) provides a direct communication channel between a brain
and an external device. Steady-state visual evoked potential based BCI (SSVEP-BCI) has …

Learning across multi-stimulus enhances target recognition methods in SSVEP-based BCIs

CM Wong, F Wan, B Wang, Z Wang… - Journal of neural …, 2020 - iopscience.iop.org
Objective. Latest target recognition methods that are equipped with learning from the
subject's calibration data, represented by the extended canonical correlation analysis …

An asynchronous P300 BCI with SSVEP-based control state detection

RC Panicker, S Puthusserypady… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
In this paper, an asynchronous brain-computer interface (BCI) system combining the P300
and steady-state visually evoked potentials (SSVEPs) paradigms is proposed. The …

Commanding a robotic wheelchair with a high-frequency steady-state visual evoked potential based brain–computer interface

PF Diez, SMT Müller, VA Mut, E Laciar, E Avila… - Medical engineering & …, 2013 - Elsevier
This work presents a brain–computer interface (BCI) used to operate a robotic wheelchair.
The experiments were performed on 15 subjects (13 of them healthy). The BCI is based on …

Asynchronous BCI control using high-frequency SSVEP

PF Diez, VA Mut, EM Avila Perona… - … of neuroengineering and …, 2011 - Springer
Abstract Background Steady-State Visual Evoked Potential (SSVEP) is a visual cortical
response evoked by repetitive stimuli with a light source flickering at frequencies above 4 Hz …

Emotional brain–computer interfaces

G Garcia-Molina, T Tsoneva… - International journal of …, 2013 - inderscienceonline.com
Research in brain–computer interface (BCI) has significantly increased during the last few
years. Additionally to their initial role as assisting devices for the physically challenged, BCIs …

Effect of higher frequency on the classification of steady-state visual evoked potentials

DO Won, HJ Hwang, S Dähne… - Journal of neural …, 2015 - iopscience.iop.org
Objective. Most existing brain–computer interface (BCI) designs based on steady-state
visual evoked potentials (SSVEPs) primarily use low frequency visual stimuli (eg,< 20 Hz) to …

Use of high-frequency visual stimuli above the critical flicker frequency in a SSVEP-based BMI

T Sakurada, T Kawase, T Komatsu, K Kansaku - Clinical neurophysiology, 2015 - Elsevier
Objective This study presents a new steady-state visual evoked potential (SSVEP)-based
brain–machine interface (BMI) using flickering visual stimuli at frequencies greater than the …