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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 141–150 of 252 papers

TitleStatusHype
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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