A Multi-Level Tree-based Ensemble Model for Automatic Sleep Stage Classification
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Updated
Apr 25, 2024 - Python
A Multi-Level Tree-based Ensemble Model for Automatic Sleep Stage Classification
MATLAB codes for reproducing the paper "A New Post-Processing Method Using Latent Structure Influence Models for Channel Fusion in Automatic Sleep Staging"
Recognition sleep stages based on PSG signals using machine learning method
A sample MATLAB codes for performing sleep staging
Codes related to the paper "Attention-Based CNN-BiLSTM for Sleep States Classification of Spatiotemporal Wide-Field Calcium Imaging Data"
This is a simple framework to preprocess and classify sleep stages based on recorded EEG/EMG data
MATLAB Project to Classify Different Sleep Stages of the EEG Signals using Machine Learning (Random Forest and Support Vector Machine)
Automated Sleep Stage Scoring using Deep Learing
This project focuses on the classification of a subjects sleep stage based on their Apple Watch data
Codes related to paper "Automated sleep stage classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning"
Official code for "SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation", AAAI 2024.
Towards Domain Free Transformer for Generalized EEG Pre-training
[TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation
[IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"
Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatics)
[IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"
Official repository of cross-modal transformer for interpretable automatic sleep stage classification. https://arxiv.org/abs/2208.06991
An open-source sleep stage classification Python package
[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
[TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"
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