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 …
Background Electroencephalography (EEG)-based brain-computer interface (BCI) systems are mainly divided into three major paradigms: motor imagery (MI), event-related potential …
This paper presents a systematic review of electroencephalography (EEG)-based brain– computer interfaces (BCIs) used in the video games, a vibrant field of research that touches …
R Fazel-Rezai, BZ Allison, C Guger… - Frontiers in …, 2012 - frontiersin.org
A brain-computer interface (BCI) enables communication without movement based on brain signals measured with electroencephalography (EEG). BCIs usually rely on one of three …
J Ma, Y Zhang, A Cichocki… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
This study presents a novel human-machine interface (HMI) based on both electrooculography (EOG) and electroencephalography (EEG). This hybrid interface works …
Objective. Code-modulated visual evoked potentials (c-VEP) have been consolidated in recent years as robust control signals capable of providing non-invasive brain–computer …
J Jin, Z Chen, R Xu, Y Miao, X Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Objective: Tactile brain-computer interface (BCI) systems can provide new communication and control options for patients with impairments of eye movements or vision. One of the …
Objective To assess the reliability and usefulness of an EEG-based brain-computer interface (BCI) for patients with advanced amyotrophic lateral sclerosis (ALS) who used it …
GR Müller-Putz - Handbook of clinical neurology, 2020 - Elsevier
The electroencephalogram (EEG) was invented almost 100 years ago and is still a method of choice for many research questions, even applications—from functional brain imaging in …