zacharycbrown / ssl_baselines_for_biosignal_feature_extraction
Implementations of various published works on self-supervised learning approaches to biosignal feature extraction.
☆52Updated last year
Alternatives and similar repositories for ssl_baselines_for_biosignal_feature_extraction:
Users that are interested in ssl_baselines_for_biosignal_feature_extraction are comparing it to the libraries listed below
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆37Updated last year
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆38Updated 4 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆27Updated 4 years ago
- ☆36Updated 4 years ago
- Deep Learning pipeline for motor-imagery classification.☆59Updated 3 years ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆44Updated last year
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆101Updated last year
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆33Updated 2 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆63Updated 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☆38Updated 3 years ago
- ☆76Updated 3 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆41Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆41Updated 2 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆41Updated 8 months ago
- Analysis of Transformer attention in EEG signal classification☆42Updated 5 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆121Updated last year
- ☆52Updated last year
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆49Updated this week
- ☆57Updated last year
- ☆18Updated 4 years ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆91Updated 2 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆100Updated 5 years ago
- ☆30Updated 8 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆61Updated 2 months ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆60Updated 4 years ago
- A list of papers for sleep stages classification using machine learning/deep learning.☆77Updated 2 years ago
- [TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation☆39Updated last year
- seizure type classification using TUH dataset☆67Updated last year
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆36Updated last year
- ☆9Updated 3 years ago