PulseProof

PulseProof is a mobile app (with a lightweight web dashboard) that audits wearable health metrics for reliability and context. Instead of blindly charting heart rate, SpO2, sleep, and stress, it flags when readings are likely wrong (poor sensor contact, motion artifacts, cold skin, low perfusion) and explains why in plain language. It then suggests quick re-check protocols (tighten band, warm hands, sit still 60 seconds) and offers “confidence scores” per metric and per device. Users can compare trends across devices (e.g., Apple Watch vs. Oura vs. Garmin) and export a clean report for clinicians that separates “high-confidence” from “low-confidence” data. This is an AI + traditional app: AI helps detect artifact patterns and generate concise explanations, but the core value is rigorous data quality scoring and repeatable verification steps. It’s not a diagnosis tool; it’s a data trust layer for wearables.

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