Google Research·· 2 h ago
Detecting signs of hypertension using wearable sensors
Detecting signs of hypertension using wearable sensors
AI summary
In a new study published in Nature, we present a multimodal artificial intelligence (AI) system capable of passively detecting signs of hypertension using a consumer smartwatch, without requiring any cuff calibration.
Selection record
Threshold 60Official, first-handFirst 72Second 71
AdmittedSum of both 143 ≥ twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：多模态AI系统检测高血压
- Why it was chosen
- Covers how smartwatch PPG and ACC signals identify hypertensive states, with quantitative comparisons for screening and confirmation against 24-hour ambulatory blood pressure monitoring as the gold standard.
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: Google Research · research.google