在模拟的低血压症下,用光电显微镜成像来评估面部 perfusion
Stefan Borik1,2, Marguerite L Gilmore1, Antonio J Gonzales-Fiol1
1Department of Anesthesiology, Yale University, New Haven, CT 06510, United States of America.
Physiological measurement
|July 7, 2025
概括
使用人工智能面部跟踪的光聚体成像 (PPGI) 可以在下体负压 (LBNP) 测试期间检测出血液动力学和自主性变化. 这种非侵入性方法根据个体对模拟低血压的耐受性来区分个体.
科学领域:
- 心血管生理学心血管生理学
- 生物医学工程 生物医学工程
- 自主神经科学 自主神经科学
背景情况:
- 低体负压 (LBNP) 是模拟低血压并评估心血管自主反应的标准方法.
- 摄影电磁成像 (PPGI) 提供了一种非侵入性的方法来测量组织 perfusion.
- 自动面部跟踪和先进的信号处理可以增强PPGI用于血液动力学监测的实用性.
研究的目的:
- 评估PPGI与自动面部跟踪在检测LBNP期间血液动力学和自主性变化的有效性.
- 确定PPGI衍生的面部输液变化是否与中风体积 (SV),全身血管阻力 (SVR) 和心率变化 (HRV) 相相关.
- 评估PPGI在区分LBNP耐受和LBNP不耐受个体方面的潜力.
主要方法:
- 24名健康的成年人接受了渐进的LBNP协议 (-15至-60毫米升).
- 交叉极化PPGI被用于记录面部输液,以及标准的血液动力学测量 (SV,SVR,HR,MAP).
- 使用基于AI的面部地标跟踪 (MediaPipe),波纹同步压缩转换和HRV分析 (NeuroKit2).
主要成果:
- 与耐受性个体相比,LBNP不耐受个体的SV显著下降,SVR增加.
- 心率可变性分析显示,不耐受组的同情激活更大 (降低HF功率,增加LF/HF比率).
- 在不耐受组中,PPGI信号幅度,特别是在脸上,在最大LBNP (-60 mmHg) 时显著下降.
结论:
- 与AI面部跟踪和波纹分析相结合的PPGI提供了一种非侵入性,空间解析的方法来监测血管和自主反应.
- 这种技术有效地区分了LBNP耐受和不耐受受试者的心血管反应.
- 在重症监护和紧急医疗中,PPGI对实时心血管状况评估有希望.
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