Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: A review
The brain–computer interface (BCI) is an emerging technology that has the potential to
revolutionize the world, with numerous applications ranging from healthcare to human …
revolutionize the world, with numerous applications ranging from healthcare to human …
Past, present, and future of EEG-based BCI applications
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 …
EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces
Objective. Brain–computer interfaces (BCI) enable direct communication with a computer,
using neural activity as the control signal. This neural signal is generally chosen from a …
using neural activity as the control signal. This neural signal is generally chosen from a …
Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke
Brain-computer interfaces (BCI) are used in stroke rehabilitation to translate brain signals
into intended movements of the paralyzed limb. However, the efficacy and mechanisms of …
into intended movements of the paralyzed limb. However, the efficacy and mechanisms of …
Noninvasive neuroimaging enhances continuous neural tracking for robotic device control
Brain-computer interfaces (BCIs) using signals acquired with intracortical implants have
achieved successful high-dimensional robotic device control useful for completing daily …
achieved successful high-dimensional robotic device control useful for completing daily …
Finger pinching and imagination classification: A fusion of CNN architectures for IoMT-enabled BCI applications
Abstract A Brain–Computer Interface (BCI), integrated with the Internet of Medical Things
(IoMT) and based on electroencephalogram (EEG) technology, allows users to control …
(IoMT) and based on electroencephalogram (EEG) technology, allows users to control …
Control strategies for active lower extremity prosthetics and orthotics: a review
Technological advancements have led to the development of numerous wearable robotic
devices for the physical assistance and restoration of human locomotion. While many …
devices for the physical assistance and restoration of human locomotion. While many …
Questionnaire measures and physiological correlates of presence: A systematic review
The published literature has produced several definitions for the sense of presence in a
simulated environment, as well as various methods for measuring it. The variety of …
simulated environment, as well as various methods for measuring it. The variety of …
Is clinical virtual reality ready for primetime?
Objective: Since the mid-1990s, a significant scientific literature has evolved regarding the
outcomes from the use of what we now refer to as clinical virtual reality (VR). This use of VR …
outcomes from the use of what we now refer to as clinical virtual reality (VR). This use of VR …
EEG-neurofeedback as a tool to modulate cognition and behavior: a review tutorial
Neurofeedback is attracting renewed interest as a method to self-regulate one's own brain
activity to directly alter the underlying neural mechanisms of cognition and behavior. It not …
activity to directly alter the underlying neural mechanisms of cognition and behavior. It not …