通过使用智能手机摄像头进行面部分析,远程估计周边氧和脉冲率
概括
使用智能手机面部视频进行非接触式生命体征监测是可能的. 这种方法可以准确地估计血液中氧和度 (SpO2) 和脉率,为传统设备提供了一种方便的替代方案.
科学领域:
- 生物医学工程 生物医学工程
- 医疗成像医学成像
- 生理监测 生理监测
背景情况:
- 生命体征监测在医疗保健中至关重要,但传统设备需要身体接触,这可能不可靠.
- 基于接触的传感器可能会因为运动而失效,特别是在关键事件期间,需要非接触式解决方案.
研究的目的:
- 调查仅使用智能手机面部视频估计SpO2和脉率的可行性.
- 开发和验证远程生命体征评估的无接触方法.
主要方法:
- 在理想的照明条件下从10名健康受试者收集了面部视频数据.
- 采用先进的图像和信号处理技术,从额头视频中提取远程光电显微镜 (rPPG) 信号.
- 利用rPPG信号来估计SPO2和脉冲率.
主要成果:
- 在92%-99%的范围内实现了SpO2估计,准确度RMS为1.34%和MAE ±STD为1.26 ±0.68%.
- 获得的脉率估计,精度RMS为3.91bpm,MAE ±STD为3.24 ±2.11bpm,在60-90bpm范围内.
- 证明了从智能手机面部视频中准确估计生命体征的可能性.
结论:
- 基于智能手机的非接触式生命体征监测是可以实现的.
- 这项技术为远程患者评估提供了一个有希望的,非侵入性的替代方案.
- 进一步的研究可以探索各种临床和家庭护理环境中的应用.
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