AI & Sleep: Decoding Dreams & Patterns

Sleep is one of medicine’s underused data streams. Clinically, disturbed sleep has often been treated as a symptom of a disorder, but sleep is also a physiological state in which brain, cardiac, respiratory, and autonomic systems interact continuously. That interaction is measurable and potentially predictive. Consumer sleep tracking is becoming mainstream with wearable devices typically capturing motion (accelerometry) and optical pulse signals via photoplethysmography (PPG), which estimates changes in blood volume from reflected light.