EEG Signal Classification
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Benchmarks
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Most implemented
A Transformer-based deep neural network model for SSVEP classification
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs
Improving EEG Signal Classification Accuracy Using Wasserstein Generative Adversarial Networks
Deep comparisons of Neural Networks from the EEGNet family
Papers
ATCNet-CIAM for Multi-Session Motor Imagery EEG Signal Classification
Motor imagery (MI)-based electroencephalography is widely used in non-invasive brain--computer interfaces (BCIs), but robust decoding remains challenging due to inter-subject variability and cross-session non-stationarit…
EEG Signal ClassificationSleepExplain: Explainable Non-Rapid Eye Movement and Rapid Eye Movement Sleep Stage Classification from EEG Signal
Classification of sleep stages is one of the most important diagnostic approaches for a variety of sleep-related disorders. Electroencephalography (EEG) is regarded as a powerful tool for examining the association betwee…
EEG Signal ClassificationDeep Convolutional Architectures for EEG Classification: A Comparative Study with Temporal Augmentation and Confidence-Based Voting
Electroencephalography (EEG) classification plays a key role in brain-computer interface (BCI) systems, yet it remains challenging due to the low signal-to-noise ratio, temporal variability of neural responses, and limit…
EEG Signal ClassificationA Unified Framework for EEG Seizure Detection Using Universum-Integrated Generalized Eigenvalues Proximal Support Vector Machine
The paper presents novel Universum-enhanced classifiers: the Universum Generalized Eigenvalue Proximal Support Vector Machine (U-GEPSVM) and the Improved U-GEPSVM (IU-GEPSVM) for EEG signal classification. Using the comp…
EEG Signal ClassificationComputational EfficiencyBinary ClassificationSeizure DetectionCoSupFormer : A Contrastive Supervised learning approach for EEG signal Classification
Electroencephalography signals (EEGs) contain rich multi-scale information crucial for understanding brain states, with potential applications in diagnosing and advancing the drug development landscape. However, extracti…
EEG Signal ClassificationContrastive LearningMotor Imagery EEG Signal Classification Using Minimally Random Convolutional Kernel Transform and Hybrid Deep Learning
The brain-computer interface (BCI) establishes a non-muscle channel that enables direct communication between the human body and an external device. Electroencephalography (EEG) is a popular non-invasive technique for re…
EEG Signal ClassificationActivity Recognition