Article

Multi-modal sleep staging in the clinic for REM sleep behaviour disorder

2026-07-01

Abstract excerpt

Accurate REM identification is critical for diagnosing REM sleep behaviour disorder (RBD), yet many automated sleep-staging systems, especially single-channel EEG models trained on healthy cohorts, do not generalise well to real-life polysomnography (PSG) performed in patients. We compared a feature-based Random Forest (RF) model tuned for RBD with a state-of-the-art single-EEG deep architecture (AttnSleep), and a...

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Literature Corpus work: 6b761b03-1c63-5f78-9d4b-281dba2c97d7
DOI: 10.64898/2026.06.30.26356905

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