Sleep Data–Driven Digital Health: Behavioral Analytics, Biomarkers, and AI Wellness Systems for Sleep Health
Sleep health is a multidimensional construct encompassing sleep duration, sleep timing (chronobiology), sleep architecture (staging and continuity), and daytime functioning. In modern digital health ecosystems, sleep is increasingly operationalized as measurable data streams—sleep-wake timing from actigraphy, inferred sleep stages from wearable photoplethysmography or EEG-derived algorithms, and behavioral context from questionnaires and device-based signals. When these… Read More »