使用独立于设备的智能手表技术自动检测心脏骤停和紧急服务警报:原则证明
Wisse M F van den Beuken1, Beat Nideröst2, Sebastiaan A Goossen3
1Amsterdam UMC, Department of Anesthesiology, Amsterdam, the Netherlands.
Resuscitation
|May 24, 2025
概括
这项研究表明,智能手表可以高精度地检测心脏骤停,自动提醒紧急服务. 这项技术可以通过加快第一响应者激活来提高生存率.
科学领域:
- 生物医学工程 生物医学工程
- 心血管研究的心血管研究.
- 可穿戴技术是可穿戴的技术.
背景情况:
- 医院外心脏骤停 (OHCA) 是死亡的重要原因.
- 快速检测和反应对于提高生存率至关重要.
- 自动化系统可以减少启动紧急医疗服务 (EMS) 的延误.
研究的目的:
- 为了证明检测循环停止的设备独立技术的可行性.
- 要区分自发血液循环的存在和缺乏.
- 在检测到循环停止时可靠地提醒EMS.
主要方法:
- 收集了志愿者,心脏手术患者和猪的循环停止数据.
- 使用了三星Watch5和Watch5 Pro来收集光电显微镜 (PPG) 信号.
- 开发了一种分析PPG信号以检测循环停止的算法.
- 测试了与荷兰第一响应网络HartslagNu.Nu.集成的自动报警系统.
主要成果:
- 分析了三组19名参与者的数据.
- 在识别循环停止时,获得了90.3%的灵敏度和94.1%的特异性.
- 一致触发视听智能手表报警和即时提醒虚拟EMS.
结论:
- 商业上可用的智能手表传感器可以在很高的灵敏度和特异性下可行地检测血液循环停止.
- 一个自动警报系统成功地与紧急网络集成.
- 需要进一步的研究来提高特异性,并在现实世界中验证心脏骤停场景.
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