Results 11 to 20 of about 17,170 (155)

An auditory brain–computer interface (BCI)

Journal of Neuroscience Methods, 2008
Brain-computer interfaces (BCIs) translate brain activity into signals controlling external devices. BCIs based on visual stimuli can maintain communication in severely paralyzed patients, but only if intact vision is available. Debilitating neurological disorders however, may lead to loss of intact vision. The current study explores the feasibility of
Femke, Nijboer, Adrian, Furdea, Ingo, Gunst, Jürgen, Mellinger, Dennis J, McFarland, Niels, Birbaumer, Andrea, Kübler   +6 more
openaire   +4 more sources

Hybrid Deep Learning (hDL)-Based Brain-Computer Interface (BCI) Systems: A Systematic Review

Brain Science, 2021
Background: Brain-Computer Interface (BCI) is becoming more reliable, thanks to the advantages of Artificial Intelligence (AI). Recently, hybrid Deep Learning (hDL), which combines different DL algorithms, has gained momentum over the past five years. In
Nibras Abo Alzahab, Luca Apollonio, A. Di Iorio, Muaaz Alshalak, Sabrina Iarlori, Francesco Ferracuti, A. Monteriù, C. Porcaro   +7 more
semanticscholar   +1 more source

Neuropsychological and neurophysiological aspects of brain‐computer‐interface (BCI) control in paralysis

Journal of Physiology, 2020
Brain‐computer interfaces (BCIs) aim to help paralysed patients to interact with their environment by controlling external devices using brain activity, thereby bypassing the dysfunctional motor system.
U. Chaudhary, N. Mrachacz‐Kersting, N. Birbaumer   +2 more
semanticscholar   +1 more source

Toward a compact hybrid brain-computer interface (BCI): Performance evaluation of multi-class hybrid EEG-fNIRS BCIs with limited number of channels

PLoS ONE, 2020
It has been demonstrated that the performance of typical unimodal brain-computer interfaces (BCIs) can be noticeably improved by combining two different BCI modalities.
Jinuk Kwon, Jaeyoung Shin, C. Im
semanticscholar   +1 more source

Post-stroke Rehabilitation Training with a Motor-Imagery-Based Brain-Computer Interface (BCI)-Controlled Hand Exoskeleton: A Randomized Controlled Multicenter Trial

Frontiers in Neuroscience, 2017
Repeated use of brain-computer interfaces (BCIs) providing contingent sensory feedback of brain activity was recently proposed as a rehabilitation approach to restore motor function after stroke or spinal cord lesions.
A. Frolov, O. Mokienko, R. Lyukmanov, E. Biryukova, S. Kotov, L. Turbina, G. Nadareyshvily, Y. Bushkova   +7 more
semanticscholar   +1 more source

Visual and Auditory Stimuli Response, Measured by Emotiv Insight Headset [PDF]

MATEC Web of Conferences, 2019
Brain-Computer Interface (BCI) is a very attractive area and common trend worldwide. The electroencephalographic (EEG) technology is being used by BCI systems that process brain signals through computer algorithms.
Zabcikova Martina
doaj   +1 more source

Humanoid Robot Walking in Maze Controlled by SSVEP-BCI Based on Augmented Reality Stimulus

Frontiers in Human Neuroscience, 2022
The application study of robot control based brain-computer interface (BCI) not only helps to promote the practicality of BCI but also helps to promote the advancement of robot technology, which is of great significance.
Shangen Zhang, Xiaorong Gao, Xiaogang Chen   +2 more
doaj   +1 more source

Neuroethics and brain-computer interfaces (BCIs) [PDF]

Brain-Computer Interfaces, 2016
Advances in brain-computer interface (or brain-machine interface) technology raise interesting and important ethical questions.
Eran Klein, C.S. Nam
openaire   +1 more source

Steady state visual evoked potential (SSVEP) based brain-computer interface (BCI) performance under different perturbations

PLoS ONE, 2018
Brain-computer interface (BCI) paradigms are usually tested when environmental and biological artifacts are intentionally avoided. In this study, we deliberately introduced different perturbations in order to test the robustness of a steady state visual ...
Z. Iscan, V. Nikulin
semanticscholar   +1 more source

Immediate brain plasticity after one hour of brain–computer interface (BCI)

Journal of Physiology, 2019
Two groups of inexperienced brain‐computer interface users underwent a purely mental EEG‐BCI session that rapidly impacted on their brain. Modulations in structural and functional MRI were found after only 1 h of BCI training. Two different types of BCI (
T. Nierhaus, C. Vidaurre, C. Sannelli, K. Mueller, A. Villringer   +4 more
semanticscholar   +1 more source