New insights in motor imagery from real-time EEG feedback during fMRI
A BCI-based vibrotactile neurofeedback training improves motor cortical excitability during motor imagery | bioRxiv
EEG dataset of 7-day Motor Imagery BCI | IEEE DataPort
Frontiers | Multi-Hierarchical Fusion to Capture the Latent Invariance for Calibration-Free Brain-Computer Interfaces
EEG Spatial patterns and frequency bands used to classify motor imagery... | Download Scientific Diagram
Figure 2 from Motor Imagery based Brain Computer Interface (BCI) using Artificial Neural Network Classifiers | Semantic Scholar
The positions of the EEG electrodes for motor imagery experiment. | Download Scientific Diagram
An EEG Brain-Computer Interface to Classify Motor Imagery Signals | SpringerLink
Translation of EEG Spatial Filters from Resting to Motor Imagery Using Independent Component Analysis | PLOS ONE
Illustration of the SBELM-based model for classification of motor... | Download Scientific Diagram
Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
Diagnostics | Free Full-Text | KCS-FCnet: Kernel Cross-Spectral Functional Connectivity Network for EEG-Based Motor Imagery Classification
Frontiers | A Decoding Scheme for Incomplete Motor Imagery EEG With Deep Belief Network
Hand Motor Imagery Classification Using Effective Connectivity and Hierarchical Machine Learning in EEG Signals
Frontiers | EEG-Based BCI Control Schemes for Lower-Limb Assistive-Robots
Six classes of motor imagery EEG signals in the upper limb | IEEE DataPort
A large electroencephalographic motor imagery dataset for electroencephalographic brain computer interfaces | Scientific Data
New insights in motor imagery from real-time EEG feedback during fMRI
Integrating simultaneous motor imagery and spatial attention for EEG-BCI control | bioRxiv
Classification of multi class motor imagery EEG signals using sparsity based dictionary learning approach
OpenBCI crossing swords with motor imagery | OpenBCI Community
Motor imagery and EEG-based control of spelling devices and neuroprostheses - ScienceDirect
Multi-classification for EEG motor imagery signals using data evaluation-based auto-selected regularized FBCSP and convolutional neural network | Neural Computing and Applications
