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Deep Learning Meets Sleep Medicine: A Proof-of-Concept Clustering of Minute-Resolution CPAP Telemetry

2025-07-08

Abstract excerpt

This proof-of-concept study demonstrates that minute-resolution telemetry from continuous positive airway pressure (CPAP) devices can be effectively repurposed for large-scale chronotype and adherence phenotyping. We collated 30 consecutive nights from n =200 de-identified ResMed patients into 30 × 1440 colour images, embedded each image with a frozen ResNet-50 convolutional neural network, and clustered the emb...

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Identifiers and source

Literature Corpus work
924f5316-a1c3-5b4a-9db7-33b92c07a948
DOI
10.1101/2025.07.03.663061
Open publication

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Deep Learning Meets Sleep Medicine: A Proof-of-Concept Clustering of Minute-Resolution CPAP TelemetryDOI 10.1101/2025.07.03.663061
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