Google Research releases cuffless, calibration-free smartwatch AI for hypertension detection
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Google Research published the AI-PPG-ACC-HTN system in Nature, stating that using only PPG and accelerometer data from consumer-grade smartwatches, without cuff calibration, it can passively identify signs of hypertension. Google Research states that this study is an early feasibility exploration, and the described method is purely exploratory in nature and does not represent any existing or forthcoming commercial product feature or device capability; smartwatch-based hypertension screening is also not intended to replace standard clinical cuffs or to provide definitive, standalone medical diagnosis.
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- Google ResearchFeaturedDetecting signs of hypertension using wearable sensors
Google researchers describe AI-PPG-ACC-HTN, a multimodal AI system that uses smartwatch PPG and accelerometry data, without cuff calibration, to detect a persistent hypertensive state by aggregating 15-second waveform embeddings over multiple days alongside height. Validated against 24-hour ambulatory blood pressure monitoring in a 196-participant, five-site US study, it reached 65.8% sensitivity and 90.0% specificity for initial screening and 78.4% sensitivity, 90.9% specificity and 96.7% PPV for confirmatory testing among 48 participants with elevated office BP. The authors frame it as early feasibility research for passive opportunistic screening, not a replacement for clinical cuffs or a standalone diagnosis.
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