A meta-learning sleep-stage classifier using spatial-temporal hypergraphs improves few-shot cross-subject accuracy on ISRUC and UCD by about 2.5 to 3 percentage points over the strongest baseline.
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MetaSTH-Sleep: Towards Effective Few-Shot Sleep Stage Classification for Health Management with Spatial-Temporal Hypergraph Enhanced Meta-Learning
A meta-learning sleep-stage classifier using spatial-temporal hypergraphs improves few-shot cross-subject accuracy on ISRUC and UCD by about 2.5 to 3 percentage points over the strongest baseline.