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Temporally Continuous Automated Sleep-Wake Classification Using Deep Learning

2025-12-04

Abstract excerpt

<h4>Introduction</h4> Segmenting sleep into fixed 30-second epochs remains central to current sleep scoring practice, yet it imposes rigid boundaries that may not accurately reflect the true temporal sleep dynamics. We aimed to develop a deep learning-based, high-temporal-resolution sleep-wake classifier leveraging temporally continuous manual reference scoring without fixed epoch boundaries and transfer learning...

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Literature Corpus work
2998fa9b-9f21-55d8-a678-b40e0efb6436
DOI
10.64898/2025.12.03.25341129
Open publication

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