[HTML][HTML] Decoding movement kinematics from EEG using an interpretable convolutional neural network
Continuous decoding of hand kinematics has been recently explored for the intuitive control
of electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs). Deep neural …
of electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs). Deep neural …
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 …
Feel your reach: An EEG-based framework to continuously detect goal-directed movements and error processing to gate kinesthetic feedback informed artificial arm …
Establishing the basic knowledge, methodology, and technology for a framework for the
continuous decoding of hand/arm movement intention was the aim of the ERC-funded …
continuous decoding of hand/arm movement intention was the aim of the ERC-funded …
Continuous low-frequency EEG decoding of arm movement for closed-loop, natural control of a robotic arm
Objective. Continuous decoding of voluntary movement is desirable for closed-loop, natural
control of neuroprostheses. Recent studies showed the possibility to reconstruct the hand …
control of neuroprostheses. Recent studies showed the possibility to reconstruct the hand …
Towards unlocking motor control in spinal cord injured by applying an online EEG-based framework to decode motor intention, trajectory and error processing
Brain-computer interfaces (BCIs) can translate brain signals directly into commands for
external devices. Electroencephalography (EEG)-based BCIs mostly rely on the …
external devices. Electroencephalography (EEG)-based BCIs mostly rely on the …
Continuous bimanual trajectory decoding of coordinated movement from EEG signals
YF Chen, R Fu, J Wu, J Song, R Ma… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
While many voluntary movements involve bimanual coordination, few attempts have been
made to simultaneously decode the trajectory of bimanual movements from …
made to simultaneously decode the trajectory of bimanual movements from …
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 …
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 …
Chrono-EEG dynamics influencing hand gesture decoding: a 10-hour study
Long-term electroencephalography (EEG) recordings have primarily been used to study
resting-state fluctuations. These recordings provide valuable insights into various …
resting-state fluctuations. These recordings provide valuable insights into various …
Review of closed-loop brain–machine interface systems from a control perspective
H Pan, H Song, Q Zhang, W Mi - IEEE Transactions on Human …, 2022 - ieeexplore.ieee.org
In recent years, brain–machine interface (BMI) technology has made great progress in
controlling external devices and restoring motor function for people with disabilities. To …
controlling external devices and restoring motor function for people with disabilities. To …