Challenges And Opportunities Of Deep Learning For Wearable-based Objective Sleep Assessment

A recent study highlights the limitations of deep learning models in sleep-wake classification using actigraphy data. However, innovative methodologies such as domain adaptation and self-supervised learning show promise in improving the generalizability of these models for automated sleep assessment.