Google Research 在 Nature 发表研究:用普通智能手表无袖带检测高血压迹象
Google Research AI 用普通智能手表无袖带检测高血压迹象
Google Research 在 Nature 发表研究,其 AI 仅用智能手表内置的脉搏和运动传感器即可检测高血压迹象,无需袖带校准。神经网络从近 50 万小时传感器数据中无监督学习脉搏和心跳模式,在覆盖美国五个研究点、196 人的研究中检出 65.8% 的高血压患者,高于诊室标准测量的 55.3%。
The Decoder:AI News· Manuel Uth·2026-11-07 17:54· 56 分钟前AI 评分65
Google's AI detects high blood pressure from a regular smartwatch without a cuff
AI 导读
Google Research 发布于 Nature 的研究显示,其 AI 借助智能手表内置的脉搏和运动传感器检测高血压迹象,无需袖带校准。神经网络从近 50 万小时传感器数据中无监督地学习脉搏和心跳模式,在覆盖美国五个研究点的 196 人研究中,检出 65.8% 的高血压患者,高于诊室标准测量的 55.3%。
正文 · 原文
Nov 7, 2026
A Google Research AI can detect signs of high blood pressure using a regular smartwatch, with no blood pressure cuff needed for calibration. The AI relies on two sensors already built into modern watches—a pulse sensor and a motion sensor—according to a Google blog post. The study was published in Nature.
A neural network learned from nearly 500,000 hours of sensor data by comparing short segments and figuring out which ones belonged to the same person, picking up typical pulse and heartbeat patterns without any diagnoses to guide it. The system then averages these patterns over several days and calculates a probability for high blood pressure. Google's health model SensorFM also learns from smartwatch data.
In a study of 196 people across five US research sites, the watch spotted hypertension about as well as a traditional cuff, identifying 65.8 percent of those with high blood pressure compared to 55.3 percent for the standard in-office measurement.
Google says the findings have been folded into the blood pressure trends feature in the Google Health app, but the method is still a research project and doesn't replace a diagnosis. The goal is to nudge people toward getting checked. More than half of people with high blood pressure don't know they have it, according to Google.
AI News Without the Hype – Curated by Humans
Subscribe to THE DECODER for ad-free reading, a weekly AI newsletter, our exclusive "AI Radar" frontier report six times a year, full archive access, and access to our comment section.
来源:The Decoder:AI News · the-decoder.com
事件后续 · 1
来源:RadarAI · aihot.news