一个算法来检测动脉血压和光聚光学波形中的二突,使用代信封平均方法
Ravi Pal1, Akos Rudas2, Sungsoo Kim1
1Department of Anesthesiology & Perioperative Medicine, University of California, Los Angeles, CA, USA.
medRxiv : the preprint server for health sciences
|March 18, 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) 和光聚光学 (PPG) 波形中的二突 (DN). 这种快速可靠的方法有助于进行关键的心血管评估,即使信号不那么明确.
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:
- 两突 (DN) 检测对于血液动力学监测至关重要,包括心脏输出和血压估计.
- 现有的DN检测方法可能有限,特别是在复杂或杂的生理信号中.
- 准确的DN识别支持先进的机器学习模型来预测心血管疾病.
研究的目的:
- 引入一种基于代包平均值 (IEM) 的新型算法,用于自动化DN检测.
- 为了评估算法对动脉血压 (ABP) 和光聚光学 (PPG) 波形的性能.
- 评估算法的稳定性在不同的信号噪声比率 (SNRs) 中.
主要方法:
- 在ABP和PPG信号中开发了一个基于IEM的DN检测算法.
- 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周期.
- 将算法性能与使用缩相位持续时间 (SPD) 作为指标的经过验证的第二衍生方法进行比较,研究人员验证的DN标记作为参考.
主要成果:
- 对于ABP (R2=.99) 和PPG (R2=.98) 波形,IEM算法与研究人员识别的DN位置有很强的相关性.
- 与第二个衍生方法相比,实现了显著较低的平均检测误差 (ABP的0.0047s,PPG的0.0046s).
- 在SNR>= -9 dB (ABP) 和>= -12 dB (PPG) 时显示出高准确度的DN检测.
结论:
- 拟议的IEM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.
- 该算法有效地检测到DN,即使在"没有DN的信号"中,隙还没有明确定义.
- 这种工具可以显著有利于需要精确提取心血管波形特征的医疗应用,如SPD.
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