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<p style="-qt-block-indent: 0; text-indent: 0px; margin: 0px;">A Lightweight Temporal-Spatial Fusion Network for Neonatal Sleep Staging

2026-04-24

Abstract excerpt

<h4>Background: </h4> Accurate assessment of neonatal sleep is critical for monitoring brain development and identifying potential neurological disorders, yet manual scoring of multi-channel EEG recordings is labor-intensive and prone to variability. <h4>Methods:</h4> To address this, we propose a lightweight temporal-spatial feature fusion network for automatic neonatal sleep staging. The model employs a dual-bra...

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Literature Corpus work: d876d383-22af-592b-a6ef-4ea604c0a978
DOI: 10.20944/preprints202604.1735.v1

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