北京生物医学工程

基于光电容积脉搏波的无袖带血压测量技术研究进展

Research progress of cuffless blood pressure measurement technology based on photoplethysmography

作者：麻琛彬张鹏宋凡孙洋洋张光磊

单位：北京航空航天大学生物与医学工程学院生物医学工程高精尖创新中心（北京 100191）<br />北京航空航天大学未来空天技术学院/高等理工学院（北京 100191）<br />通信作者：张光磊。E-mail: guangleizhang@buaa.edu.cn

关键词：光电容积脉搏波；无袖带血压；信号处理；机器学习；序列学习

分类号：R318.04

出版年·卷·期（页码）：2023·42·2（194-203）

摘要：

无袖带血压监测技术由于低生理/心理负荷等特点，在健康监测领域具有广阔的应用前景。其中，基于光电容积脉搏波的无袖带血压测量技术能够获取连续动态的血压参数，有效弥补传统袖带血压测量不便、间断测量等不足。本文对基于光电容积脉搏波的无袖带血压测量技术的研究进展进行综述。首先从传感测量和数据处理方面介绍了光电容积脉搏波信号的获取与分析方法。然后简述了传统的基于脉搏波速度理论进行血压测量的研究，重点分析了该领域的主要研究方向：基于形态学参数的机器学习方法研究以及基于序列学习的深度网络研究。最后对基于光电容积脉搏波的无袖带血压测量技术所面临的挑战及其应对策略进行了深入分析和详细讨论，以期为该领域的相关研究提供参考。

Cuffless blood pressure monitoring technology has a broad application prospect in health monitoring due to its low physiological/psychological load and other characteristics. The photoplethysmography-based cuffless blood pressure measurement technology can obtain continuous dynamic blood pressure parameters and effectively compensate for the inconvenience and intermittent measurement of traditional cuffless blood pressure measurement. This paper reviews the research progress of the photoplethysmography-based cuffless blood pressure measurement technology. Firstly, acquiring and analyzing the photoplethysmography signal is introduced in terms of sensing measurement and data processing. Then the traditional research on blood pressure measurement based on pulse wave velocity theory is briefly described. The main research directions in this field are highlighted: research on machine learning methods based on morphological parameters and research on deep networks based on sequence learning. Finally, in-depth analysis and detailed discussion of the challenges faced by the photoplethysmography-based cuffless blood pressure measurement technology and its response strategies are presented to reference for related research in this field.

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