mauriceaj / CRNNeeg-sleepLinks
CRNNeeg: A deep learning algorithm for sleep staging PSG and long-term scalp EEG
☆18Updated 5 years ago
Alternatives and similar repositories for CRNNeeg-sleep
Users that are interested in CRNNeeg-sleep are comparing it to the libraries listed below
Sorting:
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG☆30Updated 4 years ago
- Analysis of Transformer attention in EEG signal classification☆44Updated 10 months ago
- This repo contains a list of papers for sleep stage classification using deep learning based techniques starting from 2017-afterwards. I …☆65Updated 2 years ago
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆41Updated 4 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- Deep learning model for EEG artifact removal☆74Updated 3 years ago
- ☆19Updated 3 months ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo fro…☆152Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- Transfer learning for sleep stage detection☆31Updated 3 years ago
- A list of papers for sleep stages classification using machine learning/deep learning.☆91Updated 2 years ago
- EEG motor imagery classification using convolutional neural networks☆36Updated 2 years ago
- [Arxiv] NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG☆61Updated 5 months ago
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆52Updated 2 years ago
- 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
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 4 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆43Updated last year
- In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data u…☆22Updated 4 years ago
- A Residual based Attention Model for EEG basedSleep Staging☆11Updated 3 years ago
- code for NeurIPS_competition☆28Updated 3 years ago
- Benchmark code for the paper: "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"☆87Updated 3 months ago
- ☆31Updated 4 months ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆45Updated 7 months ago
- ☆9Updated 3 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆57Updated 2 years ago
- ☆36Updated 7 years ago
- SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging☆104Updated last year
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆69Updated 11 months ago
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆72Updated last year
- ☆24Updated 3 weeks ago