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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 81–90 of 252 papers

TitleStatusHype
Classification of EEG Motor Imagery Using Deep Learning for Brain-Computer Interface Systems—0
A New Method for Features Normalization in Motor Imagery Few-Shot Learning using Resting-State—0
Effect of Simulated Space Conditions on functional Connectivity—0
Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface—0
EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification—0
EEG Foundation Models for BCI Learn Diverse Features of Electrophysiology—0
EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification—0
Channel Reflection: Knowledge-Driven Data Augmentation for EEG-Based Brain-Computer Interfaces—0
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing—0
EEGEncoder: Advancing BCI with Transformer-Based Motor Imagery Classification—0
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