摄像头地震心图基于监测左心室喷射时间
IEEE transactions on bio-medical engineering
|March 18, 2025
概括
这项研究引入了一种非接触式方法,使用激光光斑成像来测量视频中的左心室喷射时间 (LVET). 这种基于摄像头的地震心电图 (SCG) 技术可以在没有身体接触的情况下准确监测心脏功能.
科学领域:
- 生物医学工程 生物医学工程
- 心血管生理学心血管生理学
- 医疗成像医学成像
背景情况:
- 左心室喷射时间 (LVET) 对于评估心脏动效率,膜功能和心肌收缩性至关重要.
- 持续的LVET监测对于评估心脏健康至关重要.
- 地震心电图 (SCG) 信号通过识别大动脉事件为LVET监测提供了一种手段.
研究的目的:
- 提出一种新的非接触式方法,从激光光斑视频中提取LVET.
- 通过使用基于摄像头的SCG来实现心脏功能的远程监测.
- 为准确检测大动脉开放 (AO) 和关闭 (AC) 标记而开发一种算法.
主要方法:
- 利用失焦的激光光斑成像来记录心脏运动.
- 提取了激光斑点运动的低频 (LSM-LF) 和高频 (LSM-HF) 组件.
- 雇佣LSM-HF以帮助在LSM-LF信号中检测AO和AC标记物.
主要成果:
- 实现了AO (98.16%) 和AC (97.94%) 标记物的高检测精度.
- 估计LVET的平均绝对误差为0.5571 ms.
- 在21名参与者和9616个SCG周期的数据集上验证了该方法.
结论:
- 拟议的摄像头-SCG方法显示了非接触式心脏健康监测的巨大潜力.
- 激光光斑成像为远程LVET评估提供了一个可行的替代方案.
- 从视频信号中准确检测心脏事件是可行的.
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