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Motor Imagery

Classification of examples recorded under the Motor Imagery paradigm, as part of Brain-Computer Interfaces (BCI).

A number of motor imagery datasets can be downloaded using the MOABB library: motor imagery datasets list

Papers

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Showing 126–150 of 252 papers

TitleStatusHype
Phase/amplitude synchronization of brain signals during motor imagery BCI tasks—0
Phase Synchrony Component Self-Organization in Brain Computer Interface—0
Preliminary Assessment of hands motor imagery in theta- and beta-bands for Brain-Machine-Interfaces using functional connectivity analysis—0
Probabilistic Learning Vector Quantization on Manifold of Symmetric Positive Definite Matrices—0
Pseudo Channel: Time Embedding for Motor Imagery Decoding—0
Pseudo-online framework for BCI evaluation: A MOABB perspective—0
Real-Time EEG Classification via Coresets for BCI Applications—0
Research on Event-Related Desynchronization of Motor Imagery and Movement Based on Localized EEG Cortical Sources—0
Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry—0
RLEEGNet: Integrating Brain-Computer Interfaces with Adaptive AI for Intuitive Responsiveness and High-Accuracy Motor Imagery Classification—0
Robust Feature Engineering Techniques for Designing Efficient Motor Imagery-Based BCI-Systems—0
Robust Spatial Filtering with Beta Divergence—0
Scatter-based common spatial patterns -- a unified spatial filtering framework—0
SCDM: Unified Representation Learning for EEG-to-fNIRS Cross-Modal Generation in MI-BCIs—0
Siamese Neural Networks for EEG-based Brain-computer Interfaces—0
Sinc-based convolutional neural networks for EEG-BCI-based motor imagery classification—0
Single Channel-based Motor Imagery Classification using Fisher's Ratio and Pearson Correlation—0
Source Data Selection for Brain-Computer Interfaces based on Simple Features—0
Sparse Multitask Learning for Efficient Neural Representation of Motor Imagery and Execution—0
Spatial Filtering for Brain Computer Interfaces: A Comparison between the Common Spatial Pattern and Its Variant—0
Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities—0
Spatial-Spectral Boosting Analysis for Stroke Patients' Motor Imagery EEG in Rehabilitation Training—0
Spatiotemporal Pooling on Appropriate Topological Maps Represented as Two-Dimensional Images for EEG Classification—0
Spectrally Adaptive Common Spatial Patterns—0
SSTAF: Spatial-Spectral-Temporal Attention Fusion Transformer for Motor Imagery Classification—0
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