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 …

Brain-machine interfaces: from basic science to neuroprostheses and neurorehabilitation

MA Lebedev, MAL Nicolelis - Physiological reviews, 2017 - journals.physiology.org
Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces

VJ Lawhern, AJ Solon, NR Waytowich… - Journal of neural …, 2018 - iopscience.iop.org
Objective. Brain–computer interfaces (BCI) enable direct communication with a computer,
using neural activity as the control signal. This neural signal is generally chosen from a …

EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21st Century

I Lazarou, S Nikolopoulos, PC Petrantonakis… - Frontiers in human …, 2018 - frontiersin.org
People with severe neurological impairments face many challenges in sensorimotor
functions and communication with the environment; therefore they have increased demand …

Visual and auditory brain–computer interfaces

S Gao, Y Wang, X Gao, B Hong - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Over the past several decades, electroencephalogram (EEG)-based brain-computer
interfaces (BCIs) have attracted attention from researchers in the field of neuroscience …

A hybrid BCI system combining P300 and SSVEP and its application to wheelchair control

Y Li, J Pan, F Wang, Z Yu - IEEE Transactions on Biomedical …, 2013 - ieeexplore.ieee.org
In this paper, a hybrid brain-computer interface (BCI) system combining P300 and steady-
state visual evoked potential (SSVEP) is proposed to improve the performance of …

Combination of augmented reality based brain-computer interface and computer vision for high-level control of a robotic arm

X Chen, X Huang, Y Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Recent advances in robotics, neuroscience, and signal processing make it possible to
operate a robot through electroencephalography (EEG)-based brain-computer interface …

Signal processing approaches to minimize or suppress calibration time in oscillatory activity-based brain–computer interfaces

F Lotte - Proceedings of the IEEE, 2015 - ieeexplore.ieee.org
One of the major limitations of brain-computer interfaces (BCI) is their long calibration time,
which limits their use in practice, both by patients and healthy users alike. Such long …

A high-speed brain speller using steady-state visual evoked potentials

M Nakanishi, Y Wang, YT Wang… - International journal of …, 2014 - World Scientific
Implementing a complex spelling program using a steady-state visual evoked potential
(SSVEP)-based brain–computer interface (BCI) remains a challenge due to difficulties in …

Noninvasive electroencephalography equipment for assistive, adaptive, and rehabilitative brain–computer interfaces: a systematic literature review

N Jamil, AN Belkacem, S Ouhbi, A Lakas - Sensors, 2021 - mdpi.com
Humans interact with computers through various devices. Such interactions may not require
any physical movement, thus aiding people with severe motor disabilities in communicating …