使用基于计算机视觉的地震心脏成像进行非接触心脏振动测量
Mohammad Muntasir Rahman1, Jadyn Cook1, Amirtahà Taebi2
1Department of Agricultural and Biological Engineering, Mississippi State University, Mississippi, 39762, USA.
Scientific reports
|July 21, 2023
概括
这项研究引入了一种新的无接触方法,使用智能手机视频测量地震心脏图 (SCG),为远程心血管健康监测提供了一个有前途的工具.
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
- 计算机视觉 计算机视觉
背景情况:
- 地震心脏图 (SCG) 非侵入性地测量心脏活动引起的胸壁振动.
- SCG显示出诊断心血管疾病的潜力,如心力衰竭和缺血.
- 传统的SCG需要胸部佩戴的加速度计.
研究的目的:
- 使用智能手机视频开发和评估一种新的非接触式SCG测量方法.
- 通过智能手机摄像头捕获的胸部运动提取SCG信号.
- 通过智能手机视频分析评估远程心血管监测的可行性.
主要方法:
- 利用计算机视觉技术,特别是卢卡斯-卡纳德模板跟踪,监测胸部位移.
- 从视频录像中追踪到一个人造目标附在胸部.
- 从跟踪的位移中估计的SCG信号,并与基于加速度计的SCG进行验证.
主要成果:
- 基于视觉和基于加速度计的SCG信号之间的高度相似性 (平均DTW指数为0.94-0.95).
- 与心电图相比,从视频衍生的SCG信号中准确估计心率,偏差较低 (0.649次/分钟)
- 证明了从智能手机视频中可靠地提取SCG信号的潜力.
结论:
- 一种使用智能手机视频的新型非接触式SCG测量方法已成功开发和验证.
- 这项技术提供了一种低成本,可访问的方法,用于远程监测心血管活动.
- 未来的应用可能包括远程医疗和个人健康跟踪的广泛使用.
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