[HTML][HTML] Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application

MA Khan, R Das, HK Iversen… - Computers in biology and …, 2020 - Elsevier
Strokes are a growing cause of mortality and many stroke survivors suffer from motor
impairment as well as other types of disabilities in their daily life activities. To treat these …

[HTML][HTML] Brain computer interfaces, a review

LF Nicolas-Alonso, J Gomez-Gil - sensors, 2012 - mdpi.com
A brain-computer interface (BCI) is a hardware and software communications system that
permits cerebral activity alone to control computers or external devices. The immediate goal …

Enhancing detection of SSVEPs for a high-speed brain speller using task-related component analysis

M Nakanishi, Y Wang, X Chen, YT Wang… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Objective: This study proposes and evaluates a novel data-driven spatial filtering approach
for enhancing steady-state visual evoked potentials (SSVEPs) detection toward a high …

High-speed spelling with a noninvasive brain–computer interface

X Chen, Y Wang, M Nakanishi, X Gao… - Proceedings of the …, 2015 - National Acad Sciences
The past 20 years have witnessed unprecedented progress in brain–computer interfaces
(BCIs). However, low communication rates remain key obstacles to BCI-based …

Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface

X Chen, Y Wang, S Gao, TP Jung… - Journal of neural …, 2015 - iopscience.iop.org
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 …

A benchmark dataset for SSVEP-based brain–computer interfaces

Y Wang, X Chen, X Gao, S Gao - IEEE Transactions on Neural …, 2016 - ieeexplore.ieee.org
This paper presents a benchmark steady-state visual evoked potential (SSVEP) dataset
acquired with a 40-target brain-computer interface (BCI) speller. The dataset consists of 64 …

A comparison study of canonical correlation analysis based methods for detecting steady-state visual evoked potentials

M Nakanishi, Y Wang, YT Wang, TP Jung - PloS one, 2015 - journals.plos.org
Canonical correlation analysis (CCA) has been widely used in the detection of the steady-
state visual evoked potentials (SSVEPs) in brain-computer interfaces (BCIs). The standard …

Implementing over 100 command codes for a high-speed hybrid brain-computer interface using concurrent P300 and SSVEP features

M Xu, J Han, Y Wang, TP Jung… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Objective: Recently, electroencephalography (EEG)-based brain-computer interfaces (BCIs)
have made tremendous progress in increasing communication speed. However, current BCI …

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 …

Steady-state visually evoked potentials: focus on essential paradigms and future perspectives

FB Vialatte, M Maurice, J Dauwels, A Cichocki - Progress in neurobiology, 2010 - Elsevier
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 …