Past, present, and future of EEG-based BCI applications
K Värbu, N Muhammad, Y Muhammad - Sensors, 2022 - mdpi.com
An electroencephalography (EEG)-based brain–computer interface (BCI) is a system that
provides a pathway between the brain and external devices by interpreting EEG. EEG …
provides a pathway between the brain and external devices by interpreting EEG. EEG …
A comprehensive review of EEG-based brain–computer interface paradigms
Advances in brain science and computer technology in the past decade have led to exciting
developments in brain–computer interface (BCI), thereby making BCI a top research area in …
developments in brain–computer interface (BCI), thereby making BCI a top research area in …
Generative adversarial networks-based data augmentation for brain–computer interface
The performance of a classifier in a brain-computer interface (BCI) system is highly
dependent on the quality and quantity of training data. Typically, the training data are …
dependent on the quality and quantity of training data. Typically, the training data are …
[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 …
Brain-computer interface control in a virtual reality environment and applications for the internet of things
Brain-computer interfaces (BCIs) have enabled individuals to control devices, such as
spellers, robotic arms, drones, and wheelchairs, but often these BCI applications are …
spellers, robotic arms, drones, and wheelchairs, but often these BCI applications are …
Tensor-cspnet: A novel geometric deep learning framework for motor imagery classification
Deep learning (DL) has been widely investigated in a vast majority of applications in
electroencephalography (EEG)-based brain–computer interfaces (BCIs), especially for …
electroencephalography (EEG)-based brain–computer interfaces (BCIs), especially for …
Noninvasive brain-computer interface enables communication after brainstem stroke
EW Sellers, DB Ryan, CK Hauser - Science translational medicine, 2014 - science.org
Brain-computer interfaces (BCIs) provide communication that is independent of muscle
control, and can be especially important for individuals with severe neuromuscular disease …
control, and can be especially important for individuals with severe neuromuscular disease …
Convolutional neural network and riemannian geometry hybrid approach for motor imagery classification
C Gao, W Liu, X Yang - Neurocomputing, 2022 - Elsevier
The electroencephalogram (EEG) signal is commonly applied in the brain-computer
interface (BCI) system of the motor imagery paradigm because it is noninvasive and has a …
interface (BCI) system of the motor imagery paradigm because it is noninvasive and has a …
Defining surgical terminology and risk for brain computer interface technologies
With the emergence of numerous brain computer interfaces (BCI), their form factors, and
clinical applications the terminology to describe their clinical deployment and the associated …
clinical applications the terminology to describe their clinical deployment and the associated …
AI-based epileptic seizure detection and prediction in internet of healthcare things: a systematic review
Epilepsy is a neurological condition affecting around 50 million individuals worldwide,
reported by the World Health Organization. This is identified as a hypersensitive disease by …
reported by the World Health Organization. This is identified as a hypersensitive disease by …