Current status, challenges, and possible solutions of EEG-based brain-computer interface: a comprehensive review

M Rashid, N Sulaiman, A PP Abdul Majeed… - Frontiers in …, 2020 - frontiersin.org
Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices
through the utilization of brain waves. It is worth noting that the application of BCI is not …

Review of semi-dry electrodes for EEG recording

GL Li, JT Wu, YH ** reliable and user-friendly electroencephalography (EEG) electrodes remains a
challenge for emerging real-world EEG applications. Classic wet electrodes are the gold …

EEG conformer: Convolutional transformer for EEG decoding and visualization

Y Song, Q Zheng, B Liu, X Gao - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
Due to the limited perceptual field, convolutional neural networks (CNN) only extract local
temporal features and may fail to capture long-term dependencies for EEG decoding. In this …

High-speed spelling with a noninvasive brain–computer interface

X Chen, Y Wang, M Nakanishi, X Gao… - Proceedings of the …, 2015 - National Acad Sciences
The past 20 years have witnessed unprecedented progress in brain–computer interfaces
(BCIs). However, low communication rates remain key obstacles to BCI-based …

Enhancing detection of SSVEPs for a high-speed brain speller using task-related component analysis

M Nakanishi, Y Wang, X Chen, YT Wang… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Objective: This study proposes and evaluates a novel data-driven spatial filtering approach
for enhancing steady-state visual evoked potentials (SSVEPs) detection toward a high …

Conformal in-ear bioelectronics for visual and auditory brain-computer interfaces

Z Wang, N Shi, Y Zhang, N Zheng, H Li, Y Jiao… - Nature …, 2023 - nature.com
Brain-computer interfaces (BCIs) have attracted considerable attention in motor and
language rehabilitation. Most devices use cap-based non-invasive, headband-based …

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 …

Robust similarity measurement based on a novel time filter for SSVEPs detection

J **, Z Wang, R Xu, C Liu, X Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) has
received extensive attention in research for the less training time, excellent recognition …

A benchmark dataset for SSVEP-based brain–computer interfaces

Y Wang, X Chen, X Gao, S Gao - IEEE Transactions on Neural …, 2016 - ieeexplore.ieee.org
This paper presents a benchmark steady-state visual evoked potential (SSVEP) dataset
acquired with a 40-target brain-computer interface (BCI) speller. The dataset consists of 64 …

Implementing over 100 command codes for a high-speed hybrid brain-computer interface using concurrent P300 and SSVEP features

M Xu, J Han, Y Wang, TP Jung… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Objective: Recently, electroencephalography (EEG)-based brain-computer interfaces (BCIs)
have made tremendous progress in increasing communication speed. However, current BCI …