High-speed spelling with a noninvasive brain–computer interface
The past 20 years have witnessed unprecedented progress in brain–computer interfaces
(BCIs). However, low communication rates remain key obstacles to BCI-based …
(BCIs). However, low communication rates remain key obstacles to BCI-based …
Riemannian geometry for EEG-based brain-computer interfaces; a primer and a review
Despite its short history, the use of Riemannian geometry in brain-computer interface (BCI)
decoding is currently attracting increasing attention, due to accumulating documentation of …
decoding is currently attracting increasing attention, due to accumulating documentation of …
SSVEP-based brain-computer interface with a limited number of frequencies based on dual-frequency biased coding
How to encode as many targets as possible with a limited-frequency resource is a difficult
problem in the practical use of a steady-state visual evoked potential (SSVEP) based brain …
problem in the practical use of a steady-state visual evoked potential (SSVEP) based brain …
High frequency SSVEP-BCI with hardware stimuli control and phase-synchronized comb filter
A Chabuda, P Durka… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
We present an efficient implementation of brain-computer interface (BCI) based on high-
frequency steady state visually evoked potentials (SSVEP). Individual shape of the SSVEP …
frequency steady state visually evoked potentials (SSVEP). Individual shape of the SSVEP …
EEG_GENet: A feature-level graph embedding method for motor imagery classification based on EEG signals
H Wang, H Yu, H Wang - Biocybernetics and Biomedical Engineering, 2022 - Elsevier
In recent years, the success of deep learning has driven the development of motor imagery
brain-computer interfaces (MI-BCIs) based on electroencephalography (EEG). However …
brain-computer interfaces (MI-BCIs) based on electroencephalography (EEG). However …
Optimizing a dual-frequency and phase modulation method for SSVEP-based BCIs
Objective. The design of the stimulation paradigm plays an important role in steady-state
visual evoked potential (SSVEP)-based brain-computer interface (BCI) studies. Among …
visual evoked potential (SSVEP)-based brain-computer interface (BCI) studies. Among …
Spectrum-Enhanced TRCA (SE-TRCA): A novel approach for direction detection in SSVEP-based BCI
Abstract The Steady State Visual Evoked Potential (SSVEP) is a widely used component in
BCIs due to its high noise resistance and low equipment requirements. Recently, a novel …
BCIs due to its high noise resistance and low equipment requirements. Recently, a novel …
Modelling the brain response to arbitrary visual stimulation patterns for a flexible high-speed brain-computer interface
Visual evoked potentials (VEPs) can be measured in the EEG as response to a visual
stimulus. Commonly, VEPs are displayed by averaging multiple responses to a certain …
stimulus. Commonly, VEPs are displayed by averaging multiple responses to a certain …
Hybrid brain–computer interface for biomedical cyber-physical system application using wireless embedded EEG systems
Background One of the key challenges of the biomedical cyber-physical system is to
combine cognitive neuroscience with the integration of physical systems to assist people …
combine cognitive neuroscience with the integration of physical systems to assist people …
Improve the classification efficiency of high-frequency phase-tagged SSVEP by a recursive Bayesian-based approach
Among the Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces
(BCIs), the phase-tagged SSVEP (p-SSVEP) has been proved a reliable paradigm to extend …
(BCIs), the phase-tagged SSVEP (p-SSVEP) has been proved a reliable paradigm to extend …