一个算法来检测动脉血压和光聚体光学波形中的二突,使用代信封平均值方法
Ravi Pal1, Akos Rudas2, Sungsoo Kim1
1Department of Anesthesiology & Perioperative Medicine, University of California, Los Angeles, CA, USA.
Computer methods and programs in biomedicine
|June 20, 2024
概括
一个新的代包平均值 (IEM) 算法准确地检测动脉血压 (ABP) 和光聚素学 (PPG) 信号中的二突 (DN). 这种快速可靠的方法增强了心血管监测和非侵入性血压估计.
科学领域:
- 心血管生理学心血管生理学
- 生物医学信号处理
- 医疗保健中的机器学习
背景情况:
- 双切口 (DN) 是动脉血压 (ABP) 和光聚光学 (PPG) 波形中的一个关键特征.
- 准确的DN检测对于评估心脏输出,脉冲波速度和左心室喷射时间至关重要.
- 现有的DN检测方法可能是计算密集型或不太准确,特别是在具有挑战性的信号中.
研究的目的:
- 引入一种基于代封平均值 (IEM) 方法的新型算法,用于自动化DN检测.
- 通过使用大型临床数据集,评估算法在ABP和PPG波形上的性能.
- 评估算法在信号中检测DN的稳定性,这些信号具有不同的信号噪声比率 (SNR).
主要方法:
- 开发了一种使用代封平均值 (IEM) 技术进行DN检测的算法.
- 在一个大周术数据集 (MLORD) 上评估了算法,该数据集包含超过110万个ABP和340万个PPG心脏周期.
- 与研究人员标记的DN和使用相关性,回归和Bland-Altman分析的既定第二导数方法进行算法性能比较.
主要成果:
- 在ABP (R2=0.99) 和PPG (R2=0.98) 波形中,算法估计和研究人员标记的缩相持续时间 (SPD) 之间有强烈的相关性.
- 与第二导数方法相比,实现了显著较低的平均DN检测错误 (例如,ABP的0.0047s与0.0693s).
- 展示了强大的性能,即使在低SNR (ABP为-9dB,PPG为-12dB) 中也具有高的检测率.
结论:
- 拟议的基于IEM的算法为ABP和PPG信号中的DN检测提供了一种计算效率高和可靠的方法.
- 该算法即使在"DN-less信号"上也表现良好,其中隙不清楚可见.
- 这种工具可以显著有利于医疗应用,需要精确提取基于DN的特征来监测和诊断患者.
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