This repository contains the official implementation of our paper:
SleepAC: Less Dependency on Manual Annotations, More Reliable Sampling for Automatic Sleep Staging
SleepAC/
│ main.py # Main script to train and evaluate the model
├─exp/ # Experimental settings and training logic
├─layers/ # Model building blocks
├─models/ # SleepAC model architecture
└─utils/ # Data loading, sampling strategies, helper functionspip install -r requirements.txtThe SleepEDF dataset is on https://physionet.org/content/sleep-edfx/1.0.0/
The ISRUC dataset is on https://sleeptight.isr.uc.pt/
The SHHS dataset is on https://sleepdata.org/datasets/shhs
To train & evaluate the SleepAC model, run:
python main.py