AI RESEARCH
AI Generalisation Gap In Comorbid Sleep Disorder Staging
arXiv CS.LG
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ArXi:2603.23582v1 Announce Type: new Accurate sleep staging is essential for diagnosing OSA and hypopnea in stroke patients. Although PSG is reliable, it is costly, labor-intensive, and manually scored. While deep learning enables automated EEG-based sleep staging in healthy subjects, our analysis shows poor generalization to clinical populations with disrupted sleep. Using Grad-CAM interpretations, we systematically nstrate this limitation. We