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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
MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG ClassificationCode0
A Subject-Independent Brain-Computer Interface Framework Based on Supervised Autoencoder—0
Cross-Correlation Based Discriminant Criterion for Channel Selection in Motor Imagery BCI Systems—0
CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG Signals—0
A Study on Stroke Rehabilitation through Task-Oriented Control of a Haptic Device via Near-Infrared Spectroscopy-Based BCI—0
A Human-Machine Joint Learning Framework to Boost Endogenous BCI Training—0
Covariate Shift Estimation based Adaptive Ensemble Learning for Handling Non-Stationarity in Motor Imagery related EEG-based Brain-Computer Interface—0
A SPA-based Manifold Learning Framework for Motor Imagery EEG Data Classification—0
A Convolutional Spiking Network for Gesture Recognition in Brain-Computer Interfaces—0
Community Detection from Multiple Observations: from Product Graph Model to Brain Applications—0
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