Annotation-Guided Temporal Attention with a Sleep Foundation Model for Predicting Future Cognitive Impairment from Polysomnography
A complete prediction pipeline was developed that used a frozen SleepFM encoder for five-minute PSG segments, a bidirectional LSTM for temporal modelling, and annotation-guided attention based on algorithmic sleep stages and events for future cognitive-impairment prediction.
Xiao-Yun Wang, Wei-Ping Liu, Yi-Xuan Zhang et al.
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