通过利用地震心电图与心电图相关的信号特征来持续估计血压
Aleksandra Zienkiewicz1, Vesa Korhonen2,3, Vesa Kiviniemi2,3
1Optoelectronics and Measurement Techniques Research Unit, University of Oulu, 90570 Oulu, Finland.
Biosensors
|December 27, 2024
概括
这项研究探讨了使用地震心电图 (SCG) 信号进行非侵入性血压 (BP) 追踪. 来自SCG的同体积电流时刻显示了连续BP监测的潜力,优于传统方法.
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
- 信号处理 信号处理
背景情况:
- 持续,非侵入性血压 (BP) 监测仍然是一个重大的临床挑战.
- 地震心电图 (SCG) 信号反映了心脏活动诱导的胸部运动,为新型血压评估提供了潜在的途径.
- 现有的方法往往缺乏全面的血液动力学监测所需的持续和非侵入性.
研究的目的:
- 调查使用SCG信号用于连续,节奏到节奏的非侵入性BP跟踪的可行性.
- 检查SCG衍生的等离体流量时刻和心电图 (ECG) 参数之间的时间关系.
- 为了比较基于SCG的血压估计与侵入性动脉血压测量的精度.
主要方法:
- 从9名接受麻醉医疗手术的受试者获得SCG和ECG数据.
- 从SCG信号计算出同流体时刻,并从ECG计算出预射期 (PEP).
- 将SCG衍生的PEP (PEPIM) 和ECG衍生的PEP (PEPAO) 与侵袭性测量的静脉缩压,静脉缩压和平均动脉压 (MAP) 进行比较.
- 开发和评估线性和二度回归模型,包括HR,以从PEPIM估计MAP.
主要成果:
- PEPIM与静脉血压 (0.67 ± 0.18),静脉血压 (0.66 ± 0.17) 和MAP (0.67 ± 0.17) 显示出显著的相关性.
- 与PEPAO相比,PEPIM在所有BP参数中显示了略高的相关性.
- 第二级回归模型,特别是扩展心率 (HR) 的回归模型,实现了MAP估计的最低RMSE (8.5 ± 3.4 mmHg).
- 扩展的第二度模型的实体内测试给出了7.510.5 mmHg的平均误差,用于未经重新校准的MAP估计.
结论:
- SCG信号显示出对非侵入性,持续的血压监测有希望.
- 由SCG推导的同体积矩与心电图参数之间的时间关系为BP估计提供了可行的基础.
- 与外围方法相比,SCG测量与心脏的接近可能为反映中心血压提供优势,这需要进一步研究.
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