A comprehensive review on critical issues and possible solutions of motor imagery based electroencephalography brain-computer interface

A Singh, AA Hussain, S Lal, HW Guesgen - Sensors, 2021 - mdpi.com
Motor imagery (MI) based brain–computer interface (BCI) aims to provide a means of
communication through the utilization of neural activity generated due to kinesthetic …

[HTML][HTML] A survey on robots controlled by motor imagery brain-computer interfaces

J Zhang, M Wang - Cognitive Robotics, 2021 - Elsevier
A brain-computer interface (BCI) can provide a communication approach conveying brain
information to the outside. Especially, the BCIs based on motor imagery play the important …

A brain–computer interface based on miniature-event-related potentials induced by very small lateral visual stimuli

M Xu, X **ao, Y Wang, H Qi, TP Jung… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Goal: Traditional visual brain–computer interfaces (BCIs) preferred to use large-size stimuli
to attract the user's attention and elicit distinct electroencephalography (EEG) features …

Dynamic joint domain adaptation network for motor imagery classification

X Hong, Q Zheng, L Liu, P Chen, K Ma… - … on Neural Systems …, 2021 - ieeexplore.ieee.org
Electroencephalogram (EEG) has been widely used in brain computer interface (BCI) due to
its convenience and reliability. The EEG-based BCI applications are majorly limited by the …

A brain-actuated robotic arm system using non-invasive hybrid brain–computer interface and shared control strategy

L Cao, G Li, Y Xu, H Zhang, X Shu… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. The electroencephalography (EEG)-based brain–computer interfaces (BCIs) have
been used in the control of robotic arms. The performance of non-invasive BCIs may not be …

Improving motor imagery-based brain-computer interface performance based on sensory stimulation training: an approach focused on poorly performing users

S Park, J Ha, DH Kim, L Kim - Frontiers in Neuroscience, 2021 - frontiersin.org
The motor imagery (MI)-based brain-computer interface (BCI) is an intuitive interface that
provides control over computer applications directly from brain activity. However, it has …

Evaluation of EEG oscillatory patterns and classification of compound limb tactile imagery

K Lakshminarayanan, R Shah, SR Daulat, V Moodley… - Brain Sciences, 2023 - mdpi.com
Objective: The purpose of this study was to investigate the cortical activity and digit
classification performance during tactile imagery (TI) of a vibratory stimulus at the index …

Performance variation of a somatosensory BCI based on imagined sensation: a large population study

L Yao, N Jiang, N Mrachacz-Kersting… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
A proportion of users cannot achieve adequate brain-computer interface (BCI) control. The
diversity of BCI modalities provides a way to solve this emerging issue. Here, we investigate …

A review of EEG-based brain-computer interface systems design

W Zhang, C Tan, F Sun, H Wu… - Brain Science …, 2018 - journals.sagepub.com
A brain-computer interface (BCI) system can recognize the mental activities pattern by
computer algorithms to control the external devices. Electroencephalogram (EEG) is one of …

Event-related desynchronization induced by tactile imagery: An EEG study

L Yakovlev, N Syrov, A Miroshnikov, M Lebedev… - eneuro, 2023 - eneuro.org
It is well known that both hand movements and mental representations of movement lead to
event-related desynchronization (ERD) of the electroencephalogram (EEG) recorded over …