Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …
review the physical principles of BCIs, and underlying novel approaches for registration …
Concurrent fNIRS and EEG for brain function investigation: a systematic, methodology-focused review
Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) stand as
state-of-the-art techniques for non-invasive functional neuroimaging. On a unimodal basis …
state-of-the-art techniques for non-invasive functional neuroimaging. On a unimodal basis …
[HTML][HTML] Best practices for fNIRS publications
The application of functional near-infrared spectroscopy (fNIRS) in the neurosciences has
been expanding over the last 40 years. Today, it is addressing a wide range of applications …
been expanding over the last 40 years. Today, it is addressing a wide range of applications …
EEG dataset and OpenBMI toolbox for three BCI paradigms: An investigation into BCI illiteracy
Background Electroencephalography (EEG)-based brain-computer interface (BCI) systems
are mainly divided into three major paradigms: motor imagery (MI), event-related potential …
are mainly divided into three major paradigms: motor imagery (MI), event-related potential …
Closed-loop brain training: the science of neurofeedback
Neurofeedback is a psychophysiological procedure in which online feedback of neural
activation is provided to the participant for the purpose of self-regulation. Learning control …
activation is provided to the participant for the purpose of self-regulation. Learning control …
Brain-machine interfaces: from basic science to neuroprostheses and neurorehabilitation
MA Lebedev, MAL Nicolelis - Physiological reviews, 2017 - journals.physiology.org
Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …
neurophysiology, computer science, and engineering in an effort to establish real-time …
Brain computer interface: control signals review
RA Ramadan, AV Vasilakos - Neurocomputing, 2017 - Elsevier
Abstract Brain Computer Interface (BCI) is defined as a combination of hardware and
software that allows brain activities to control external devices or even computers. The …
software that allows brain activities to control external devices or even computers. The …
[HTML][HTML] Progress in brain computer interface: Challenges and opportunities
Brain computer interfaces (BCI) provide a direct communication link between the brain and a
computer or other external devices. They offer an extended degree of freedom either by …
computer or other external devices. They offer an extended degree of freedom either by …
fNIRS-based brain-computer interfaces: a review
A brain-computer interface (BCI) is a communication system that allows the use of brain
activity to control computers or other external devices. It can, by bypassing the peripheral …
activity to control computers or other external devices. It can, by bypassing the peripheral …
Spatio-spectral feature representation for motor imagery classification using convolutional neural networks
Convolutional neural networks (CNNs) have recently been applied to electroencephalogram
(EEG)-based brain–computer interfaces (BCIs). EEG is a noninvasive neuroimaging …
(EEG)-based brain–computer interfaces (BCIs). EEG is a noninvasive neuroimaging …