Article

SleepGPT: A Sleep Stage Language Model for Efficient Sleep Assessment

2024-10-28

Abstract excerpt

<h4>Background</h4> Accurate and scalable sleep assessment is essential for the diagnosis of sleep disorders and the advancement of personalized sleep medicine. Current clinical practice relies predominantly on in-laboratory polysomnography (PSG) followed by manual sleep stage scoring. This process is labor-intensive, costly, and difficult to scale to large populations or long-term monitoring scenarios. <h4>Metho...

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Literature Corpus work: f3578f7f-ceb9-59b5-a784-1eb86d09f4c4
DOI: 10.1101/2024.10.26.24316166

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