基于智能手机双摄像头的血压查,使用耳朵和手指之间的脉冲传输时间
概括
智能手机摄像头现在可以使用光电发热 (PPG) 信号估计血压 (BP). 这种新的方法,利用双摄像头系统和脉冲传输时间 (PTT),为方便的健康查提供了一种可行的方法.
科学领域:
- 生物医学工程 生物医学工程
- 医疗信息学 医疗信息学
- 移动健康服务提供者
背景情况:
- 配备有光学摄像头和传感器的智能手机有助于获得生理信号.
- 远程健康查越来越依赖于可访问的移动技术.
研究的目的:
- 开发和验证基于智能手机的血压 (BP) 估计框架.
- 为了利用双摄像头摄影电流 (PPG) 信号采集用于BP监测.
主要方法:
- 通过智能手机的双摄像头系统,从耳朵和手指同步收集PPG信号.
- 计算耳朵和手指PPG信号之间的脉冲传输时间 (PTT).
- 使用基于PTT,心率和心率变异性的个性化回归模型,用随机森林模型估计缩和腹缩血压.
- 从智能手机获得的BP估计与基于袖口的测量进行比较.
主要成果:
- 使用PPG衍生的生理学信息 (PTT,心率) 与随机森林回归模型实现了最佳性能.
- 缩和腹缩血压的平均绝对误差分别为3.74 mmHg和2.73 mmHg.
- 获得了高的皮尔森相关系数 (0.877对于心缩,0.868对于心缩),验证了该方法的准确性.
结论:
- 智能手机的双摄像头系统可以切实地检查血压.
- 拟议的框架表明了非侵入性,方便的BP监测的潜力.
- 在智能手机上集成PPG信号分析为远程健康评估提供了一个有希望的途径.
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