通过通过外周血液流量估计进行基于视频的同情性兴奋评估
Björn Braun1, Daniel McDuff2, Tadas Baltrusaitis3
1Department of Computer Science, ETH Zürich, Switzerland.
Biomedical optics express
|February 29, 2024
概括
这项研究表明,通过分析周围血液流动,可以使用像RGB摄像头这样的光学传感器进行非侵入性测量. 这种光学方法与传统的皮电活动 (EDA) 测量有很强的相关性.
科学领域:
- 身体生理学 身体生理学
- 生物医学工程 生物医学工程
- 计算机视觉 计算机视觉
背景情况:
- 皮电活动 (EDA) 是交感神经系统活动的关键指标.
- 传统的EDA测量需要通过电极直接与皮肤接触,这限制了其应用.
- 评估同情性兴奋的非侵入性方法是非常可取的.
研究的目的:
- 研究仅使用光学传感器 (RGB摄像头) 推断同情性兴奋的可行性.
- 开发和验证一种新的方法,以光学测量外周血流.
- 为了比较光学测量与黄金标准EDA和光电显微镜 (PPG) 信号.
主要方法:
- 开发一种从面部和手掌视频中光学测量外周血流的方法.
- 来自21名参与者的同步数据集收集,包括面部/手掌视频,EDA和PPG信号.
- 光学推断信号与黄金标准EDA之间的相关性分析.
主要成果:
- 光学推断的外周血流信号与基本真相EDA密切相关.
- 使用手掌或额头视频和PPG信号,使用0.57到0.63的中位相关性得到了实现.
- 交感兴奋最有效地从额头,手指或手掌的光学信号中推断出来.
结论:
- 对外围血流的光学测量为评估同情性兴奋提供了传统EDA的可行的非侵入性替代方案.
- 可以利用RGB摄像头远程监测生理应激反应.
- 额头,手指和手掌区域是最佳的基于光学的交感兴奋监测.
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