InsightSleepNet: the interpretable and uncertainty-aware deep learning network for sleep staging using continuous Photoplethysmography.

We evaluated four sleep parameters (Total Sleep Time, Light fraction, Deep fraction, REM fraction) and found that, even without energy score thresholds, we achieved highly significant correlations for almost all parameters, except deep fraction.

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