AITRICS / EEG_real_time_seizure_detectionLinks
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)
☆112Updated 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:
- seizure type classification using TUH dataset☆76Updated 3 weeks ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆103Updated 6 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆62Updated 3 years ago
- The project is about applying CNNs to EEG data from CHB-MIT to predict seizure☆120Updated 2 years ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆180Updated 3 years ago
- Analysis of Transformer attention in EEG signal classification☆45Updated last year
- ☆175Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆139Updated last year
- ☆131Updated 2 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆154Updated last year
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo fro…☆155Updated 2 years ago
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆42Updated 4 years ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆48Updated 2 years ago
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆246Updated 2 years ago
- Hands-on tutorial on deep learning for EEG classification.☆83Updated last year
- Generate statistical features from Electroencephalographic data☆94Updated 3 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 5 years ago
- ☆38Updated 4 years ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆63Updated last year
- IEEE Transactions on Emerging Topics in Computational Intelligence☆67Updated 5 months ago
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆61Updated 3 months ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆47Updated 10 months ago
- PyTorch implementation of TSception☆79Updated 2 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆66Updated 5 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆70Updated 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
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆39Updated 3 years ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆150Updated last year
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆88Updated 3 months ago
- ☆66Updated 2 years ago