AITRICS / EEG_real_time_seizure_detectionLinks
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)
☆104Updated 2 years ago
Alternatives and similar repositories for EEG_real_time_seizure_detection
Users that are interested in EEG_real_time_seizure_detection are comparing it to the libraries listed below
Sorting:
- Analysis of Transformer attention in EEG signal classification☆44Updated 9 months ago
- seizure type classification using TUH dataset☆73Updated last year
- EEG motor imagery classification using convolutional neural networks☆35Updated 2 years ago
- Deep learning model for EEG artifact removal☆73Updated 3 years ago
- Hands-on tutorial on deep learning for EEG classification.☆78Updated last year
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆57Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆130Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆43Updated 7 months ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆174Updated 2 years ago
- PyTorch implementation of TSception☆75Updated 2 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆163Updated 5 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆84Updated 7 years ago
- ☆130Updated 2 years ago
- The project is about applying CNNs to EEG data from CHB-MIT to predict seizure☆118Updated 2 years ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- Deep Learning, Wavelet Analysis and Fourier Transforms for identification of abnormal EEG in Epilepsy patients☆60Updated 4 years ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆133Updated last year
- Anomaly prediction using brain signals with Fourier transformed features and SVM classifier.☆18Updated 2 years ago
- ☆82Updated 3 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆43Updated last year
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆63Updated 5 years ago
- Pytorch implementation of EEGNet.☆46Updated 2 years ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆57Updated last year
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Updated 3 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆147Updated last year
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆35Updated 2 years ago
- Generate statistical features from Electroencephalographic data☆92Updated 2 years ago
- ☆169Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆45Updated 2 years ago