Why Wearables Track Sleep Stages Wrong

Most smartwatches claim to map your sleep architecture with clinical precision, but new research suggests they are largely guessing based on movement and heart rate. We examine why actigraphy-based models fail to distinguish between light sleep and wakefulness in restless patients. The conversation centers on a specific study involving over two thousand participants who wore both consumer devices and medical-grade polysomnography headbands. We break down the algorithmic shortcuts companies take to keep battery life viable, and why your wearable’s eight-hour sleep score might be masking significant fragmentation. If you rely on your device for health data, understanding these limitations is crucial before making lifestyle changes based on a potentially flawed metric. #SleepScience #WearableTech #HealthDataAccuracy #Actigraphy #Polysomnography #Smartwatch #FitnessTracker #SleepStages #ConsumerHealth #AlgorithmBias #HeartRateVariability #DeepSleep #REM #FexingoBusiness #BusinessPodcast #TechReview #MedicalDevices #DigitalHealth Keep every episode free: buymeacoffee.com/fexingo