Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review

W Jin, XX Zhu, L Qian, C Wu, F Yang… - Frontiers in …, 2024 - frontiersin.org
Brain-computer interfaces (BCIs) represent a groundbreaking approach to enabling direct
communication for individuals with severe motor impairments, circumventing traditional …

Riemannian geometry-based transfer learning for reducing training time in c-VEP BCIs

J Ying, Q Wei, X Zhou - Scientific reports, 2022 - nature.com
One of the main problems that a brain-computer interface (BCI) face is that a training stage is
required for acquiring training data to calibrate its classification model just before every use …

Automatic detection of code-modulated visual evoked potentials using novel covariance estimators and short-time EEG signals

A Zarei, BM Asl - Computers in Biology and Medicine, 2022 - Elsevier
Abstract Background and Objective: Over the last years, code-modulated visual evoked
potentials (cVEP)-based brain–computer interfaces (BCIs) have been developed as robust …

[PDF][PDF] Eliciting Code-modulated Visual Evoked Potentials by Non-Recognizable Presentation of Code Sequences

O Bringmann - 2021 - ecogsci.cs.uni-tuebingen.de
Recently, brain-computer interfaces (BCIs) based on visual evoked potentials (VEPs) have
gained traction as a tool to improve quality of life in motor paralysis patients through …

[PDF][PDF] UNIVERSITY OF PETROȘANI

ESD ROȘCA - upet.ro
A brain-computer interface (BCI) is a hardware and software-based communication system
that allows a computer or external device to be controlled solely on the basis of brain activity …