MATLAB codes for reproducing the paper "A New Post-Processing Method Using Latent Structure Influence Models for Channel Fusion in Automatic Sleep Staging"
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Updated
Jan 7, 2024 - MATLAB
MATLAB codes for reproducing the paper "A New Post-Processing Method Using Latent Structure Influence Models for Channel Fusion in Automatic Sleep Staging"
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)
Codes related to the paper "Attention-Based CNN-BiLSTM for Sleep States Classification of Spatiotemporal Wide-Field Calcium Imaging Data"
Recognition sleep stages based on PSG signals using machine learning method
Collection of deep learning-based sleep stage classification models
Official code for "SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation", AAAI 2024.
Codes related to paper "Automated sleep stage classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning"
[IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"
A Multi-Level Tree-based Ensemble Model for Automatic Sleep Stage Classification
A sample MATLAB codes for performing sleep staging
Towards Domain Free Transformer for Generalized EEG Pre-training
This project focuses on the classification of a subjects sleep stage based on their Apple Watch data
Automated Sleep Stage Scoring using Deep Learing
Official repository of cross-modal transformer for interpretable automatic sleep stage classification. https://arxiv.org/abs/2208.06991
[IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"
[TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation
Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatics)
[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
An open-source sleep stage classification Python package
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