Subject-independent brain–computer interfaces based on deep convolutional neural networks
For a brain-computer interface (BCI) system, a calibration procedure is required for each
individual user before he/she can use the BCI. This procedure requires approximately 20-30 …
individual user before he/she can use the BCI. This procedure requires approximately 20-30 …
EEG signal classification of imagined speech based on Riemannian distance of correntropy spectral density
MA Bakhshali, M Khademi… - … Signal Processing and …, 2020 - Elsevier
Several current brain–computer interface (BCI) systems are based on imagined speech.
This means that these systems are controlled only by thinking about a speech without …
This means that these systems are controlled only by thinking about a speech without …
Motor imagery based brain-computer interface: improving the EEG classification using Delta rhythm and LightGBM algorithm
This article contains a new method to improving the EEG motor imagery classification
system quality with an application on BCI competition IV 2a, 2b, and PhysioNet EEG-MI …
system quality with an application on BCI competition IV 2a, 2b, and PhysioNet EEG-MI …
Brain-computer integration: A framework for the design of brain-computer interfaces from an integrations perspective
Brain-computer interface (BCI) systems hold the potential to foster human flourishing and
self-actualization. However, we believe contemporary BCI system design approaches …
self-actualization. However, we believe contemporary BCI system design approaches …
Design of an EEG-based brain controlled wheelchair for quadriplegic patients
In this paper, an EEG-based brain controlled wheelchair has been designed using Brain
Computer Interface (BCI) with the help of NeuroSky Mind Wave EEG Headset. Quadriplegic …
Computer Interface (BCI) with the help of NeuroSky Mind Wave EEG Headset. Quadriplegic …
Riemannian geometry-based metrics to measure and reinforce user performance changes during brain-computer interface user training
N Ivanov, T Chau - Frontiers in Computational Neuroscience, 2023 - frontiersin.org
Despite growing interest and research into brain-computer interfaces (BCI), their usage
remains limited outside of research laboratories. One reason for this is BCI inefficiency, the …
remains limited outside of research laboratories. One reason for this is BCI inefficiency, the …
An fMRI study on the generalization of motor learning after brain actuated supernumerary robot training
Y Liu, S Huang, W Xu, Z Wang, D Ming - npj Science of Learning, 2024 - nature.com
Generalization is central to motor learning. However, few studies are on the learning
generalization of BCI-actuated supernumerary robotic finger (BCI-SRF) for human-machine …
generalization of BCI-actuated supernumerary robotic finger (BCI-SRF) for human-machine …
Extended interaction with a BCI video game changes resting-state brain activity
Video games are a widespread leisure activity and essential for a substantial field of
research. In several kinds of research, video games show positive effects on cognition …
research. In several kinds of research, video games show positive effects on cognition …
Influence of dual-tasking with different levels of attention diversion on characteristics of the movement-related cortical potential
S Aliakbaryhosseinabadi, EN Kamavuako, N Jiang… - Brain research, 2017 - Elsevier
Dual tasking is defined as performing two tasks concurrently and has been shown to have a
significant effect on attention directed to the performance of the main task. In this study, an …
significant effect on attention directed to the performance of the main task. In this study, an …
Neurophysiological predictors and spectro-spatial discriminative features for enhancing SMR-BCI
Neural engineering research is actively engaged in optimizing the robustness of
sensorimotor rhythms (SMR)—brain–computer interface (BCI) to boost its potential real …
sensorimotor rhythms (SMR)—brain–computer interface (BCI) to boost its potential real …