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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 151–175 of 252 papers

TitleStatusHype
Deep learning for ECoG brain-computer interface: end-to-end vs. hand-crafted features—0
Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance—0
Classification of eye-state using EEG recordings: speed-up gains using signal epochs and mutual information measure—0
Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding—0
An intertwined neural network model for EEG classification in brain-computer interfaces—0
Improving Motor Imagery EEG Classification Based on Channel Selection Using a Deep Learning ArchitectureCode0
Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface—0
Classification of EEG Motor Imagery Using Deep Learning for Brain-Computer Interface Systems—0
Unsupervised Motor Imagery Saliency Detection Based on Self-Attention Mechanism—0
A Subject-Independent Brain-Computer Interface Framework Based on Supervised Autoencoder—0
A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm—0
MI-BMInet: An Efficient Convolutional Neural Network for Motor Imagery Brain--Machine Interfaces with EEG Channel Selection—0
Towards physiology-informed data augmentation for EEG-based BCIs—0
DGAFF: Deep Genetic Algorithm Fitness Formation for EEG Bio-Signal Channel Selection—0
Spectrally Adaptive Common Spatial Patterns—0
Team Cogitat at NeurIPS 2021: Benchmarks for EEG Transfer Learning Competition—0
Enhanced motor imagery-based EEG classification using a discriminative graph Fourier subspace—0
Neural Network-Based Feature Extraction for Multi-Class Motor Imagery Classification—0
Uncertainty Detection and Reduction in Neural Decoding of EEG SignalsCode0
Sub-100uW Multispectral Riemannian Classification for EEG-based Brain--Machine Interfaces—0
Interpretable Convolutional Neural Networks for Subject-Independent Motor Imagery Classification—0
Minimizing subject-dependent calibration for BCI with Riemannian transfer learning—0
A channel attention based MLP-Mixer network for motor imagery decoding with EEG—0
Novel EEG-based BCIs for Elderly Rehabilitation Enhancement—0
Deep convolutional recurrent neural network for short-interval EEG motor imagery classification—0
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