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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 121–130 of 252 papers

TitleStatusHype
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing—0
Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface—0
A New Method for Features Normalization in Motor Imagery Few-Shot Learning using Resting-State—0
An Improved EEG Acquisition Protocol Facilitates Localized Neural Activation—0
An intertwined neural network model for EEG classification in brain-computer interfaces—0
A Parametric Time Frequency-Conditional Granger Causality Method Using Ultra-regularized Orthogonal Least Squares and Multiwavelets for Dynamic Connectivity Analysis in EEGs—0
A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm—0
A SPA-based Manifold Learning Framework for Motor Imagery EEG Data Classification—0
A Study on Stroke Rehabilitation through Task-Oriented Control of a Haptic Device via Near-Infrared Spectroscopy-Based BCI—0
A Subject-Independent Brain-Computer Interface Framework Based on Supervised Autoencoder—0
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