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 …
Using brain-computer interfaces: a scoping review of studies employing social research methods
J Kögel, JR Schmid, RJ Jox, O Friedrich - BMC medical ethics, 2019 - Springer
Background The rapid expansion of research on Brain-Computer Interfaces (BCIs) is not
only due to the promising solutions offered for persons with physical impairments. There is …
only due to the promising solutions offered for persons with physical impairments. There is …
Flaws in current human training protocols for spontaneous brain-computer interfaces: lessons learned from instructional design
While recent research on Brain-Computer Interfaces (BCI) has highlighted their potential for
many applications, they remain barely used outside laboratories. The main reason is their …
many applications, they remain barely used outside laboratories. The main reason is their …
Noninvasive brain-computer interfaces based on sensorimotor rhythms
Brain-computer interfaces (BCIs) have been explored in the field of neuroengineering to
investigate how the brain can use these systems to control external devices. We review the …
investigate how the brain can use these systems to control external devices. We review the …
The user-centered design as novel perspective for evaluating the usability of BCI-controlled applications
Albeit research on brain-computer interfaces (BCI) for controlling applications has expanded
tremendously, we still face a translational gap when bringing BCI to end-users. To bridge …
tremendously, we still face a translational gap when bringing BCI to end-users. To bridge …
Learning to modulate one's own brain activity: the effect of spontaneous mental strategies
Using neurofeedback (NF), individuals can learn to modulate their own brain activity, in most
cases electroencephalographic (EEG) rhythms. Although a large body of literature reports …
cases electroencephalographic (EEG) rhythms. Although a large body of literature reports …
Electroencephalography (EEG)-based brain-computer interfaces
Brain-Computer Interfaces (BCI) are systems that can translate the brain activity patterns of a
user into messages or commands for an interactive application. The brain activity which is …
user into messages or commands for an interactive application. The brain activity which is …
A hybrid BCI based on EEG and fNIRS signals improves the performance of decoding motor imagery of both force and speed of hand clenching
Objective. In order to increase the number of states classified by a brain–computer interface
(BCI), we utilized a motor imagery task where subjects imagined both force and speed of …
(BCI), we utilized a motor imagery task where subjects imagined both force and speed of …
Structural and functional correlates of motor imagery BCI performance: Insights from the patterns of fronto-parietal attention network
Motor imagery (MI)-based brain-computer interfaces (BCIs) have been widely used for
rehabilitation of motor abilities and prosthesis control for patients with motor impairments …
rehabilitation of motor abilities and prosthesis control for patients with motor impairments …
Analysis and classification of hybrid BCI based on motor imagery and speech imagery
L Wang, X Liu, Z Liang, Z Yang, X Hu - Measurement, 2019 - Elsevier
As a new communication mode between human and computers, brain-computer interfaces
(BCIs) based on electroencephalography (EEG) have been widely studied. In order to …
(BCIs) based on electroencephalography (EEG) have been widely studied. In order to …