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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 76–100 of 252 papers

TitleStatusHype
Channel Reflection: Knowledge-Driven Data Augmentation for EEG-Based Brain-Computer Interfaces—0
Different factors determining Motor Execution and Motor Imagery performance in a serial reaction time task with intrinsic variability—0
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer InterfacesCode0
Decoding Imagined Movement in People with Multiple Sclerosis for Brain-Computer Interface Translation—0
Towards Personalized Brain-Computer Interface Application Based on Endogenous EEG Paradigms—0
EEG-DCNet: A Fast and Accurate MI-EEG Dilated CNN Classification MethodCode0
Graph-Dictionary Signal Model for Sparse Representations of Multivariate Data—0
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
Neurophysiological Analysis in Motor and Sensory Cortices for Improving Motor Imagination—0
Feature Selection via Dynamic Graph-based Attention Block in MI-based EEG Signals—0
Dataset Refinement for Improving the Generalization Ability of the EEG Decoding Model—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
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface—0
How Does a Single EEG Channel Tell Us About Brain States in Brain-Computer Interfaces ?—0
EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification—0
Feature interpretability in BCIs: exploring the role of network lateralizationCode0
SCDM: Unified Representation Learning for EEG-to-fNIRS Cross-Modal Generation in MI-BCIs—0
Community Detection from Multiple Observations: from Product Graph Model to Brain Applications—0
Introducing the modularity graph: an application to brain functional networks—0
Single Channel-based Motor Imagery Classification using Fisher's Ratio and Pearson Correlation—0
GET: A Generative EEG Transformer for Continuous Context-Based Neural Signals—0
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