dslaborg / sumoLinks
SUMO: Advanced sleep spindle identification with neural networks
☆23Updated last year
Alternatives and similar repositories for sumo
Users that are interested in sumo are comparing it to the libraries listed below
Sorting:
- Sleep EEG Event Detector (SEED) model, a deep learning-based detector of sleep spindles and K-complexes☆11Updated last year
- Notebooks for training the classifier of YASA sleep staging☆24Updated 4 years ago
- Implementation of DeepSleepNet for classifying EEG signals into one of six sleep stages based on Supratak et. al 2017☆12Updated 7 years ago
- Automated sleep staging scoring and narcolepsy identification☆87Updated last year
- Transfer learning for sleep stage detection☆35Updated 4 years ago
- Code to reproduce results from the paper "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"☆35Updated 4 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆72Updated last week
- EEG online experiment GUI☆18Updated 2 years ago
- Benchmark code for the paper: "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"☆93Updated 4 months ago
- A7 Spindle Detector described by Lacourse et al. 2018☆19Updated 4 years ago
- Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.☆109Updated 5 years ago
- Sleep stage detection using ECG☆136Updated last month
- A library with tools for EEG analysis☆68Updated 3 weeks ago
- Detection of ECG events (R wave, T wave) for the preprocessing of the heartbeat evoked potential☆36Updated 2 years ago
- ☆36Updated 4 months ago
- Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification☆44Updated last year
- Hands-on tutorial on deep learning for EEG classification.☆86Updated last year
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆40Updated 3 years ago
- SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging☆107Updated last year
- Deep learning-based prediction of sleep stages using wearable accelerometry and photoplethysmography☆39Updated last year
- Sleep stage automatic classifier using CNNs and LSTMs to process frequency signals of brain activity recorded via ElectroEncephaloGram EE…☆21Updated 3 years ago
- This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.☆31Updated 5 years ago
- ☆26Updated 2 years ago
- EEG Sleep stage classification using CNN with Keras☆179Updated last year
- Code for our paper SleepGPT: A Sleep Language Model for Sleep Staging and Sleep Disorder Diagnosis☆20Updated 5 months ago
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆34Updated 5 years ago
- Codes and Dataset for the paper titled, "Blink: A Fully Automated Unsupervised Algorithm for Eye Blink Detection in EEG Signals"☆45Updated 6 years ago
- ☆15Updated last year
- A branch of FieldTrip with added functionality for sleep analyses☆21Updated last year
- 2-Channel EEG Sleep Staging Algorithm using CNN-LSTM Architecture☆17Updated 4 years ago