Translation of EEG Spatial Filters from Resting to Motor Imagery Using Independent Component Analysis | PLOS ONE
Motor imagery and EEG-based control of spelling devices and neuroprostheses - ScienceDirect
OpenBCI crossing swords with motor imagery | OpenBCI Community
New insights in motor imagery from real-time EEG feedback during fMRI
Improving the Performance of an EEG-Based Motor Imagery Brain Computer Interface Using Task Evoked Changes in Pupil Diameter | PLOS ONE
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
Brain Sciences | Free Full-Text | Effects of Motor Imagery Tasks on Brain Functional Networks Based on EEG Mu/Beta Rhythm
Multi-channel EEG recording during motor imagery of different joints from the same limb | Scientific Data
Hand Motor Imagery Classification Using Effective Connectivity and Hierarchical Machine Learning in EEG Signals
Classifying motor imagery using EEG data - Psychology & Neuroscience Stack Exchange
Figure 3 from Detection of knee motor imagery by Mu ERD/ERS quantification for BCI based neurorehabilitation applications | Semantic Scholar
Diagnostics | Free Full-Text | KCS-FCnet: Kernel Cross-Spectral Functional Connectivity Network for EEG-Based Motor Imagery Classification
Figure 2 from Motor Imagery EEG Signal Processing and Classification Using Machine Learning Approach | Semantic Scholar
New insights in motor imagery from real-time EEG feedback during fMRI
Quantifying the role of motor imagery in brain-machine interfaces | Scientific Reports
Classification of multi class motor imagery EEG signals using sparsity based dictionary learning approach
![EEG sensorimotor rhythms' variation and functional connectivity measures during motor imagery: linear relations and classification approaches [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2017/3983/1/fig-2-full.png "EEG sensorimotor rhythms' variation and functional connectivity measures during motor imagery: linear relations and classification approaches [PeerJ]")
EEG sensorimotor rhythms' variation and functional connectivity measures during motor imagery: linear relations and classification approaches [PeerJ]
Dynamic Classification of Time-embedded EEG with Sequential Hypothesis Testing (SHT) for Brain-Computer Interface | Weixuan 'Vincent' Chen
Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
Precise estimation of human corticospinal excitability associated with the levels of motor imagery-related EEG desynchronization extracted by a locked-in amplifier algorithm | Journal of NeuroEngineering and Rehabilitation | Full Text
![The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2021/cs-374/1/fig-3-full.png "The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN [PeerJ]")
The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN [PeerJ]
A large electroencephalographic motor imagery dataset for electroencephalographic brain computer interfaces | Scientific Data
