摘要
作为人体常见的电生理信号之一,光电容积脉搏波蕴含了血液微循环的细节信息,已在多种医学场景中得到了普遍应用,准确检测脉搏波波形并量化其形态特征是其中必不可少的步骤。本文以设计模式为原则,开发了模块化的脉搏波预处理分析系统。系统将预处理分析过程各环节设计为相互独立的功能模块,以期具有兼容性与复用性。此外,本文改进了脉搏波波形的检测过程,提出了一种基于初筛—复核—决策的新型波形检测算法。经验证,该算法各模块设计合理,对波形的识别准确率高、抗干扰能力强。本文开发的模块化脉搏波预处理分析软件系统,可满足不同平台下的多种脉搏波应用研究的个性化预处理需求;提出的高准确率的新型算法也为脉搏波分析过程提供了新思路。
As one of the standard electrophysiological signals in the human body,the photoplethysmography contains detailed information about the blood microcirculation and has been commonly used in various medical scenarios,where the accurate detection of the pulse waveform and quantification of its morphological characteristics are essential steps.In this paper,a modular pulse wave preprocessing and analysis system is developed based on the principles of design patterns.The system designs each part of the preprocessing and analysis process as independent functional modules to be compatible and reusable.In addition,the detection process of the pulse waveform is improved,and a new waveform detection algorithm composed of screening-checking-deciding is proposed.It is verified that the algorithm has a practical design for each module,high accuracy of waveform recognition and high anti-interference capability.The modular pulse wave preprocessing and analysis software system developed in this paper can meet the individual preprocessing requirements for various pulse wave application studies under different platforms.The proposed novel algorithm with high accuracy also provides a new idea for the pulse wave analysis process.
作者
江锋
朱志斌
张梦鸽
冯静雯
徐艺菲
陈杭
JIANG Feng;ZHU Zhibin;ZHANG Mengge;FENG Jingwen;XU Yifei;CHEN Hang(College of Biomedical Engineering and Instrument Science,Zhejiang University,Hangzhou 310027,P.R.China;Key lab of Biomedical Engineering of Ministry of Education,Zhejiang University,Hangzhou 310027,P.R.China;Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal,Hangzhou 310027,P.R.China)
出处
《生物医学工程学杂志》
EI
CAS
北大核心
2023年第3期529-535,543,共8页
Journal of Biomedical Engineering
基金
国家自然科学基金资助项目(81870868)。
关键词
脉搏波
信号预处理
设计模式
波形检测算法
Pulse wave
Signal preprocessing
Design pattern
Pulse wave detection algorithm
