持续血压监测和高血压风险查使用智能手表
概括
智能手表现在可以使用手腕信号监测血压 (BP),为传统方法提供了方便的替代方案. 这种新的无袖方法显示出高精度,符合有效的血压监测和高血压查的医疗标准.
科学领域:
- 生物医学工程 生物医学工程
- 心血管技术的心血管技术
- 可穿戴的健康设备
背景情况:
- 传统的血压 (BP) 监测通常是不方便的,并且提供有限的数据.
- 现有的方法缺乏持续监测能力,阻碍了及时干预.
- 需要易于获取和易于使用的BP评估工具.
研究的目的:
- 开发和验证使用智能手表的无袖血压监测系统.
- 为了利用光电血图 (PPG) 信号进行准确的血压估计.
- 评估系统在不同条件和时间分辨率的性能.
主要方法:
- 利用智能手表的基于手腕的PPG信号来提取形态特征.
- 在438名受试者的数据上训练了一个模型,并对347名受试者进行了验证.
- 在休息和炼状态下使用60秒和10秒的PPG数据窗口评估性能.
主要成果:
- 拟议的模型实现了满足医疗仪器进步协会 (AAMI) 标准的60s和10s窗口的性能.
- 达到英国高血压协会 (BHS) 60年代PPG数据的A级和10年代PPG数据的B级.
- 在表达静缩和静缩血压变化的特征方面具有很高的准确性.
结论:
- 使用智能手表的无袖血压监测是可行的和准确的.
- 开发的框架为持续监测血压提供了方便和有效的解决方案.
- 这项技术具有广泛高血压风险查和管理的潜力.
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