Decoding covert speech from EEG-a comprehensive review
JT Panachakel, AG Ramakrishnan - Frontiers in Neuroscience, 2021 - frontiersin.org
Over the past decade, many researchers have come up with different implementations of
systems for decoding covert or imagined speech from EEG (electroencephalogram). They …
systems for decoding covert or imagined speech from EEG (electroencephalogram). They …
[HTML][HTML] Hybrid brain–computer interface techniques for improved classification accuracy and increased number of commands: a review
In this paper, hybrid brain-computer interface (hBCI) technologies for improving
classification accuracy and increasing the number of commands are reviewed. Hybridization …
classification accuracy and increasing the number of commands are reviewed. Hybridization …
EEG dataset and OpenBMI toolbox for three BCI paradigms: An investigation into BCI illiteracy
Background Electroencephalography (EEG)-based brain-computer interface (BCI) systems
are mainly divided into three major paradigms: motor imagery (MI), event-related potential …
are mainly divided into three major paradigms: motor imagery (MI), event-related potential …
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 …
Robust similarity measurement based on a novel time filter for SSVEPs detection
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 …
received extensive attention in research for the less training time, excellent recognition …
Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface
Objective. Recently, canonical correlation analysis (CCA) has been widely used in steady-
state visual evoked potential (SSVEP)-based brain–computer interfaces (BCIs) due to its …
state visual evoked potential (SSVEP)-based brain–computer interfaces (BCIs) due to its …
A convolutional neural network for steady state visual evoked potential classification under ambulatory environment
The robust analysis of neural signals is a challenging problem. Here, we contribute a
convolutional neural network (CNN) for the robust classification of a steady-state visual …
convolutional neural network (CNN) for the robust classification of a steady-state visual …
Visual and auditory brain–computer interfaces
Over the past several decades, electroencephalogram (EEG)-based brain-computer
interfaces (BCIs) have attracted attention from researchers in the field of neuroscience …
interfaces (BCIs) have attracted attention from researchers in the field of neuroscience …
Towards passive brain–computer interfaces: applying brain–computer interface technology to human–machine systems in general
Cognitive monitoring is an approach utilizing realtime brain signal decoding (RBSD) for
gaining information on the ongoing cognitive user state. In recent decades this approach …
gaining information on the ongoing cognitive user state. In recent decades this approach …
Steady-state visually evoked potentials: focus on essential paradigms and future perspectives
After 40 years of investigation, steady-state visually evoked potentials (SSVEPs) have been
shown to be useful for many paradigms in cognitive (visual attention, binocular rivalry …
shown to be useful for many paradigms in cognitive (visual attention, binocular rivalry …