Review of semi-dry electrodes for EEG recording
GL Li, JT Wu, YH Xia, QG He… - Journal of Neural …, 2020 - iopscience.iop.org
Developing reliable and user-friendly electroencephalography (EEG) electrodes remains a
challenge for emerging real-world EEG applications. Classic wet electrodes are the gold …
challenge for emerging real-world EEG applications. Classic wet electrodes are the gold …
Data analytics in steady-state visual evoked potential-based brain–computer interface: A review
Electroencephalograph (EEG) has been widely applied for brain-computer interface (BCI)
which enables paralyzed people to directly communicate with and control external devices …
which enables paralyzed people to directly communicate with and control external devices …
Enhancing detection of SSVEPs for a high-speed brain speller using task-related component analysis
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 …
for enhancing steady-state visual evoked potentials (SSVEPs) detection toward a high …
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 …
Improving the performance of individually calibrated SSVEP-BCI by task-discriminant component analysis
A brain-computer interface (BCI) provides a direct communication channel between a brain
and an external device. Steady-state visual evoked potential based BCI (SSVEP-BCI) has …
and an external device. Steady-state visual evoked potential based BCI (SSVEP-BCI) has …
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 comparison study of canonical correlation analysis based methods for detecting steady-state visual evoked potentials
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 …
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
Objective: Recently, electroencephalography (EEG)-based brain-computer interfaces (BCIs)
have made tremendous progress in increasing communication speed. However, current BCI …
have made tremendous progress in increasing communication speed. However, current BCI …
A novel deep learning approach with data augmentation to classify motor imagery signals
Z Zhang, F Duan, J Sole-Casals… - IEEE …, 2019 - ieeexplore.ieee.org
Brain-computer interface provides a new communication bridge between the human mind
and devices, depending largely on the accurate classification and identification of non …
and devices, depending largely on the accurate classification and identification of non …