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 …
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 …
In this paper, hybrid brain-computer interface (hBCI) technologies for improving classification accuracy and increasing the number of commands are reviewed. Hybridization …
CG Coogan, B He - Ieee Access, 2018 - ieeexplore.ieee.org
Brain-computer interfaces (BCIs) have enabled individuals to control devices, such as spellers, robotic arms, drones, and wheelchairs, but often these BCI applications are …
C Ju, C Guan - IEEE Transactions on Neural Networks and …, 2022 - ieeexplore.ieee.org
Deep learning (DL) has been widely investigated in a vast majority of applications in electroencephalography (EEG)-based brain–computer interfaces (BCIs), especially for …
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 …
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 …
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 …
S Jahan, F Nowsheen, MM Antik, MS Rahman… - IEEE …, 2023 - ieeexplore.ieee.org
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 …