Article

Postprocessing-Enhanced Machine Learning for Reliable Real-Time Sleep Staging in Closed-Loop Neuromodulation

2025-09-24

Abstract excerpt

Real-time sleep stage classification is important for closed-loop neuromodulation at certain stages during sleep, yet current models often yield noisy and unstable outputs that risk false triggers. These fluctuations, especially near stage boundaries, can compromise the safety and reliability of stimulation. Existing methods frequently rely on model-specific architectures or require extensive tuning to maximize pr...

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Literature Corpus work: 18b142d0-c9f5-51b7-a062-3c6da4b6b7f9
DOI: 10.1101/2025.09.22.677765

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