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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 41–50 of 252 papers

TitleStatusHype
From Electrode to Global Brain: Integrating Multi- and Cross-Scale Brain Connections and Interactions Under Cross-Subject and Within-Subject Scenarios—0
Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIsCode0
Dataset Refinement for Improving the Generalization Ability of the EEG Decoding Model—0
Feature Selection via Dynamic Graph-based Attention Block in MI-based EEG Signals—0
Neurophysiological Analysis in Motor and Sensory Cortices for Improving Motor Imagination—0
Can EEG resting state data benefit data-driven approaches for motor-imagery decoding?—0
Source Data Selection for Brain-Computer Interfaces based on Simple Features—0
Variability in Grasp Type Distinction for Myoelectric Prosthesis Control Using a Non-Invasive Brain-Machine Interface—0
MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG ClassificationCode0
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery ClassificationCode3
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