A systematic review of virtual reality and robot therapy as recent rehabilitation technologies using EEG-brain–computer interface based on movement-related cortical …
To enhance the treatment of motor function impairment, patients' brain signals for self-control
as an external tool may be an extraordinarily hopeful option. For the past 10 years …
as an external tool may be an extraordinarily hopeful option. For the past 10 years …
Error-related potentials in reinforcement learning-based brain-machine interfaces
The human brain has been an object of extensive investigation in different fields. While
several studies have focused on understanding the neural correlates of error processing …
several studies have focused on understanding the neural correlates of error processing …
Promises and perils of experimentation: The mutual-internal-validity problem
Researchers run experiments to test theories, search for and document phenomena,
develop theories, or advise policymakers. When testing theories, experiments must be …
develop theories, or advise policymakers. When testing theories, experiments must be …
A hybrid brain-computer interface for closed-loop position control of a robot arm
Brain-Computer interfacing (BCI) has currently added a new dimension in assistive robotics.
Existing brain-computer interfaces designed for position control applications suffer from two …
Existing brain-computer interfaces designed for position control applications suffer from two …
Enhancement of motor imagery training efficiency by an online adaptive training paradigm integrated with error related potential
T Tao, Y Jia, G Xu, R Liang, Q Zhang… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. Motor imagery (MI) is a process of autonomously modulating the motor area to
rehearse action mentally without actual execution. Based on the neuroplasticity of the …
rehearse action mentally without actual execution. Based on the neuroplasticity of the …
Identifying Thematics in a Brain‐Computer Interface Research
H Alharbi - Computational Intelligence and Neuroscience, 2023 - Wiley Online Library
This umbrella review is motivated to understand the shift in research themes on brain‐
computer interfacing (BCI) and it determined that a shift away from themes that focus on …
computer interfacing (BCI) and it determined that a shift away from themes that focus on …
Single trial detection of error-related potentials in brain–machine interfaces: a survey and comparison of methods
Objective. Error-related potential (ErrP) is a potential elicited in the brain when humans
perceive an error. ErrPs have been researched in a variety of contexts, such as to increase …
perceive an error. ErrPs have been researched in a variety of contexts, such as to increase …
A novel deep learning scheme for motor imagery EEG decoding based on spatial representation fusion
J Yang, Z Ma, J Wang, Y Fu - IEEE Access, 2020 - ieeexplore.ieee.org
Motor imagery electroencephalography (MI-EEG), which is an important subfield of active
brain–computer interface (BCI) systems, can be applied to help disabled people to …
brain–computer interface (BCI) systems, can be applied to help disabled people to …
Hybrid brain-computer interface with motor imagery and error-related brain activity
Objective. Brain-computer interface (BCI) systems read and interpret brain activity directly
from the brain. They can provide a means of communication or locomotion for patients …
from the brain. They can provide a means of communication or locomotion for patients …
Augmenting robot intelligence via EEG signals to avoid trajectory planning mistakes of a smart wheelchair
Assistive robots operate in complex environments and in presence of human beings, but the
interaction between them can be affected by several factors, which may lead to undesired …
interaction between them can be affected by several factors, which may lead to undesired …