使用商用智能手表首次自动检测心脏骤停:一个案例报告
Wisse M F van den Beuken1, Pieter R Tuinman2,3, Beat Nideröst4
1Department of Anesthesiology, Amsterdam UMC, Amsterdam, the Netherlands.
Resuscitation plus
|February 20, 2026
概括
本案例报告详细介绍了使用智能手表传感器数据首次自动检测自发心脏骤停的情况. 这项技术对改善紧急响应时间和在关键情况下患者的治疗结果显示出了希望.
科学领域:
- 生物医学工程 生物医学工程
- 心脏病学 心脏病学
- 数字健康数字健康
背景情况:
- 自动心脏骤停检测旨在通过缩短紧急医疗服务 (EMS) 激活时间来降低死亡率.
- 目前的算法通常依赖于模拟数据,限制了现实世界的适用性.
- 这项研究展示了使用消费者智能手表数据自动检测自发性生命终结心脏骤停的第一个案例.
研究的目的:
- 用消费级智能手表传感器数据描述自发性心脏骤停的自动检测.
- 评价使用智能手表光电血流学 (PPG) 进行实时心脏骤停检测的可行性.
主要方法:
- 一份病例报告涉及一名82岁的脑内出血患者,正在接受息治疗.
- 使用心电图,侵入性血压和临床PPG进行持续监测,并与商用智能手表一起进行监测.
- 智能手表PPG数据的回顾性分析,使用验证的诊断算法来检测循环停止.
主要成果:
- 智能手表衍生的PPG算法准确地确定了心脏骤停的确切时刻.
- 检测与临床参考信号一致,在现实世界中显示可行性.
- 该算法成功捕获了心脏骤停后长达20分钟的数据.
结论:
- 这个案例证明了使用商业智能手表来检测自发性心脏骤停的可行性.
- 虽然有希望,但这些发现来自于受控的生命终结环境.
- 需要对非医院心脏骤停 (OHCA) 患者群体进行进一步的前性研究,以验证临床性能和适用性.
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