Artificial Intelligence #sleep#ai
SleepMaMi: A Universal AI Foundation Model That Integrates Macro and Micro Sleep Structures
Researchers introduce SleepMaMi, a sleep foundation model that captures both full-night macro-structures and fine-grained micro-structures from polysomnography data. Pre-trained on over 20,000 PSG recordings (158K hours), it uses a hierarchical dual-encoder with Demographic-Guided Contrastive Learning and hybrid Masked Autoencoder objectives. SleepMaMi outperforms or matches state-of-the-art foundation models across diverse downstream tasks, enabling label-efficient clinical sleep analysis.
Jul 8, 2026 1 source