Past, present, and future of EEG-based BCI applications
K Värbu, N Muhammad, Y Muhammad - Sensors, 2022 - mdpi.com
An electroencephalography (EEG)-based brain–computer interface (BCI) is a system that
provides a pathway between the brain and external devices by interpreting EEG. EEG …
provides a pathway between the brain and external devices by interpreting EEG. EEG …
Systemic review on transcranial electrical stimulation parameters and EEG/fNIRS features for brain diseases
Background Brain disorders are gradually becoming the leading cause of death worldwide.
However, the lack of knowledge of brain disease's underlying mechanisms and ineffective …
However, the lack of knowledge of brain disease's underlying mechanisms and ineffective …
Machine-learning-enabled adaptive signal decomposition for a brain-computer interface using EEG
Background and objective The use of adaptive signal decomposition methods and machine
learning (ML) algorithms have gained interest in biomedical applications. Brain-computer …
learning (ML) algorithms have gained interest in biomedical applications. Brain-computer …
Multi-scale neural network for EEG representation learning in BCI
Recent advances in deep learning have had a methodological and practical impact on brain-
computer interface (BCI) research. Among the various deep network architectures …
computer interface (BCI) research. Among the various deep network architectures …
An introductory tutorial on brain–computer interfaces and their applications
The prospect and potentiality of interfacing minds with machines has long captured human
imagination. Recent advances in biomedical engineering, computer science, and …
imagination. Recent advances in biomedical engineering, computer science, and …
Novel Signal-to-Signal translation method based on StarGAN to generate artificial EEG for SSVEP-based brain-computer interfaces
Generative adversarial networks (GANs) have shown promising performance in image-to-
image translation. Inspired by StarGAN v2, which was introduced to address the …
image translation. Inspired by StarGAN v2, which was introduced to address the …
Data augmentation effects using borderline-SMOTE on classification of a P300-based BCI
In this study, we addressed a problem of imbalance in the size of event-related potentials
(ERPs) between target and nontarget stimulation events, which is intrinsic to the odd-ball …
(ERPs) between target and nontarget stimulation events, which is intrinsic to the odd-ball …
Mixed reality-based brain computer interface system using an adaptive bandpass filter: Application to remote control of mobile manipulator
Q Li, M Sun, Y Song, D Zhao, T Zhang, Z Zhang… - … Signal Processing and …, 2023 - Elsevier
Brain-computer interface (BCI) systems based on mixed reality (MR) have promising
applications in assisting people with disabilities to control manipulators. Using MR glasses …
applications in assisting people with disabilities to control manipulators. Using MR glasses …
Proposals and comparisons from one-sensor EEG and EOG human-machine interfaces
Human-Machine Interfaces (HMI) allow users to interact with different devices such as
computers or home elements. A key part in HMI is the design of simple non-invasive …
computers or home elements. A key part in HMI is the design of simple non-invasive …
EEG-based empathic safe cobot
A Borboni, I Elamvazuthi, N Cusano - Machines, 2022 - mdpi.com
An empathic collaborative robot (cobot) was realized through the transmission of fear from a
human agent to a robot agent. Such empathy was induced through an …
human agent to a robot agent. Such empathy was induced through an …