AnySleep: a channel-agnostic deep learning system for high-resolution sleep staging in multi-center cohorts

This article introduces AnySleep, a deep learning system designed for sleep staging. The focus on channel-agnostic design and multi-center cohorts suggests an emphasis on robustness and generalizability across different data acquisition setups and patient populations. The use of deep learning implies potential for improved accuracy and automation in sleep analysis. The source being ArXiv indicates this is a pre-print, suggesting the work is undergoing peer review or is newly published.