Sleep Data–Guided AI Coaching: Evidence-Based Interpretation of Wearable Signals and Behavioral Actions
Wearable sleep tracking is a modern method for quantifying sleep-related physiology (e.g., duration, timing, awakenings, and estimated sleep stages) using sensors such as accelerometry and photoplethysmography. A common clinical question is how to convert these digital metrics into actionable recommendations. Sleep data–guided AI coaching refers to software that interprets longitudinal wearable outputs and translates them… Read More »