Beyond the Steps: AI for Analyzing Health Sensor Data and Wearables Beyond the Steps: AI for Analyzing Health Sensor Data and Wearables The vast stream of raw data from "wearable" devices is meaningless without intelligence. "AI for analyzing health sensor data" uses "Machine Learning" to transform continuous, noisy signals (like heart rate and sleep cycles) into truly actionable, "personalized wellness insights". Modern "wearables" and "digital health" devices—from fitness trackers to smart watches and "continuous glucose monitors (CGMs)"—are generating an unprecedented, continuous flood of "health sensor data". This data is high-frequency, multimodal, and incredibly noisy. While a raw stream of heart rate readings or accelerometer data is interesting, it’s only when "Artificial Intelligence (AI)" and "Machin...