Advanced machine-learning methods for brain-computer interfacing
Z Lv, L Qiao, Q Wang, F Piccialli - IEEE/ACM Transactions on …, 2020 - ieeexplore.ieee.org
The brain-computer interface (BCI) connects the brain and the external world through an
information transmission channel by interpreting the physiological information of the brain …
information transmission channel by interpreting the physiological information of the brain …
Optimizing stimulus frequency ranges for building a high-rate high frequency SSVEP-BCI
The brain-computer interfaces (BCIs) based on steady-state visual evoked potential
(SSVEP) have been extensively explored due to their advantages in terms of high …
(SSVEP) have been extensively explored due to their advantages in terms of high …
Signal processing algorithms for SSVEP-based brain computer interface: State-of-the-art and recent developments
J Hong, X Qin - Journal of Intelligent & Fuzzy Systems, 2021 - content.iospress.com
Over past two decades, steady-state evoked potentials (SSVEP)-based brain computer
interface (BCI) systems have been extensively developed. As we all know, signal processing …
interface (BCI) systems have been extensively developed. As we all know, signal processing …
Novel Signal-to-Signal translation method based on StarGAN to generate artificial EEG for SSVEP-based brain-computer interfaces
Generative adversarial networks (GANs) have shown promising performance in image-to-
image translation. Inspired by StarGAN v2, which was introduced to address the …
image translation. Inspired by StarGAN v2, which was introduced to address the …
Attention-based parallel multiscale convolutional neural network for visual evoked potentials EEG classification
Z Gao, X Sun, M Liu, W Dang, C Ma… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Electroencephalography (EEG) decoding is an important part of Visual Evoked Potentials-
based Brain-Computer Interfaces (BCIs), which directly determines the performance of BCIs …
based Brain-Computer Interfaces (BCIs), which directly determines the performance of BCIs …
Enhancing detection of control state for high-speed asynchronous SSVEP-BCIs using frequency-specific framework
This study proposed a novel frequency-specific (FS) algorithm framework for enhancing
control state detection using short data length toward high-performance asynchronous …
control state detection using short data length toward high-performance asynchronous …
Bichromatic visual stimulus with subharmonic response to achieve a high-accuracy SSVEP BCI system with low eye irritation
F Vahid, M Behboodi, A Mahnam - Biomedical Signal Processing and …, 2023 - Elsevier
Abstract Objective While various Steady State Visual Evoked Potential Brain-Computer
Interfaces (SSVEP BCI) with very high performance have already been developed, eye …
Interfaces (SSVEP BCI) with very high performance have already been developed, eye …
Assessment of visual fatigue in SSVEP-based brain-computer interface: a comprehensive study
Fatigue deteriorates the performance of a brain-computer interface (BCI) system; thus,
reliable detection of fatigue is the first step to counter this problem. The fatigue evaluated by …
reliable detection of fatigue is the first step to counter this problem. The fatigue evaluated by …
Modulation of brain states on fractal and oscillatory power of EEG in brain–computer interfaces
S Zhang, X Yan, Y Wang, B Liu… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. Electroencephalogram (EEG) is an objective reflection of the brain activities,
which provides potential possibilities for brain state estimation based on EEG …
which provides potential possibilities for brain state estimation based on EEG …
Characterization of SSMVEP-based EEG signals using multiplex limited penetrable horizontal visibility graph
The steady state motion visual evoked potential (SSMVEP)-based brain computer interface
(BCI), which incorporates the motion perception capabilities of the human visual system to …
(BCI), which incorporates the motion perception capabilities of the human visual system to …