PhysioEx — Pretrained Sleep Staging Models

Pretrained deep learning models for automatic sleep staging from PhysioEx (Gagliardi et al. 2025).

All models follow the AASM 5-class standard: W, N1, N2, N3, REM.

Available Models

Model	Architecture	Training Dataset	ACC	F1	κ	Params	Reference
sleeptransformer-phan	Transformer	SHHS	0.866	0.796	0.810	2.1M	Phan et al. 2022
tinysleepnet-supratak	CNN + LSTM	Sleep-EDF	0.842	0.790	0.784	83K	Supratak & Guo 2020
seqsleepnet-phan	BiLSTM + Attention	Sleep-EDF	0.810	0.758	0.742	659K	Phan et al. 2019
chambon2018	Braindecode CNN	MASS SS3	0.826	0.731	0.736	29K	Chambon et al. 2018
tsinalis-2016	2-layer CNN	Sleep-EDF	0.773	0.661	0.683	145K	Tsinalis et al. 2016

Usage

from physioex.models import load_from_pretrained

model = load_from_pretrained("sleeptransformer-phan", verbose=True)

# Extract or download embeddings
from physioex.models import load_embeddings
path = load_embeddings("sleeptransformer-phan", "hmc", verbose=True)

Pre-extracted Embeddings

Model	HuggingFace Repo	Datasets
SeqSleepNet-Phan	4rooms/seqsleepnet-phan-embeddings	25 datasets
TinySleepNet-Supratak	4rooms/tinysleepnet-supratak-embeddings	25 datasets
SleepTransformer-Phan	4rooms/sleeptransformer-phan-embeddings	8 datasets
Chambon2018	4rooms/chambon2018-embeddings	8 datasets
Tsinalis-2016	4rooms/tsinalis-2016-embeddings	8 datasets

Datasets

Dataset	Source	URL
Sleep-EDF	PhysioNet	https://physionet.org/content/sleep-edfx/1.0.0/
HMC	PhysioNet	https://physionet.org/content/hmc-sleep-staging/1.1/
DCSM	ERDA/KU	https://erda.ku.dk/public/archives/db553715ecbe1f3ac66c1dc569826eef/published-archive.html
SHHS	NSRR	https://sleepdata.org/datasets/shhs
MESA	NSRR	https://sleepdata.org/datasets/mesa
HomePAP	NSRR	https://sleepdata.org/datasets/homepap
STAGES	NSRR	https://sleepdata.org/datasets/stages
MASS	CEAMS	http://ceams-carsm.ca/mass/
WSC	NSRR	https://sleepdata.org/datasets/wsc
MrOS	NSRR	https://sleepdata.org/datasets/mros

Citations

@article{gagliardi2025physioex,
    author={Gagliardi, Guido and Alfeo, Luca and Cimino, Mario G C A and Valenza, Gaetano and De Vos, Maarten},
    title={PhysioEx, a new Python library for explainable sleep staging through deep learning},
    journal={Physiological Measurement},
    url={http://iopscience.iop.org/article/10.1088/1361-6579/adaf73},
    year={2025},
}