EEG-Based Motor BCIs for Upper Limb Movement: Current Techniques and Future Insights
Motor brain-computer interface (BCI) refers to the BCI that decodes voluntary motion
intentions from brain signals directly and outputs corresponding control commands without …
intentions from brain signals directly and outputs corresponding control commands without …
Motor imagery hand movement direction decoding using brain computer interface to aid stroke recovery and rehabilitation
VK Benzy, AP Vinod, R Subasree… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Motor Imagery (MI)-based Brain Computer Interface (BCI) system is a potential technology
for active neurorehabilitation of stroke patients by complementing the conventional passive …
for active neurorehabilitation of stroke patients by complementing the conventional passive …
Decoding single-hand and both-hand movement directions from noninvasive neural signals
Decoding human movement parameters from electroencephalograms (EEG) signals is of
great value for human-machine collaboration. However, existing studies on hand movement …
great value for human-machine collaboration. However, existing studies on hand movement …
State-based decoding of continuous hand movements using EEG signals
SM Hosseini, V Shalchyan - IEEE Access, 2023 - ieeexplore.ieee.org
Recently, the advent of the non-invasive brain-computer interface (BCI) for continuous
decoding of upper limb motions opens a new horizon for motor-disabled people. However …
decoding of upper limb motions opens a new horizon for motor-disabled people. However …
High accuracy decoding of motor imagery directions from EEG-based brain computer interface using filter bank spatially regularised common spatial pattern method
One of the important requirements of a practical Brain Computer Interface (BCI) system is the
ability to establish multiple control commands corresponding to different kinematics of motor …
ability to establish multiple control commands corresponding to different kinematics of motor …
EEG-based continuous hand movement decoding using improved center-out paradigm
The continuous decoding of human movement intention based on electroencephalogram
(EEG) signals is valuable for developing a more natural motor augmented or assistive …
(EEG) signals is valuable for developing a more natural motor augmented or assistive …
Investigating the application of graph theory features in hand movement directions decoding using EEG signals
In recent years, functional analysis of brain networks based on graph theory properties has
attracted considerable attention. This approach has usually been exploited for structural and …
attracted considerable attention. This approach has usually been exploited for structural and …
Decoding coordinated directions of bimanual movements from EEG signals
Bimanual coordination is common in human daily life, whereas current research focused
mainly on decoding unimanual movement from electroencephalogram (EEG) signals. Here …
mainly on decoding unimanual movement from electroencephalogram (EEG) signals. Here …
Decoding multi-class EEG signals of hand movement using multivariate empirical mode decomposition and convolutional neural network
Brain-computer interface (BCI) is a technology that connects the human brain and external
devices. Many studies have shown the possibility of using it to restore motor control in stroke …
devices. Many studies have shown the possibility of using it to restore motor control in stroke …
Subject-independent trajectory prediction using pre-movement EEG during grasp and lift task
Electroencephalogram (EEG) based motor trajectory decoding for efficient control of brain–
computer interface (BCI) systems has been an active area of research. The systems include …
computer interface (BCI) systems has been an active area of research. The systems include …