基于多特征参数综合分析脉搏波信号失真度算法的实现

›› 2012, Vol. 42 ›› Issue (04): 1044-1048.

基于多特征参数综合分析脉搏波信号失真度算法的实现

郭维¹, 刘光达¹, 张晓枫¹, 王春民², 杨宇¹

1. 吉林大学仪器科学与电气工程学院, 长春 130061;
2. 长春理工大学光电信息学院, 长春 130012

收稿日期:2010-11-24 出版日期:2012-07-01 发布日期:2012-07-01
通讯作者: 张晓枫(1980-),女,博士研究生.研究方向:光电医疗仪器.E-mail:zhangxf@cust.edu.cn E-mail:zhangxf@cust.edu.cn
基金资助:
吉林省科技发展计划项目(20070333).

Realization of algorithm of abnormal pulse wave signal detection based on associate factor of pulse features

GUO Wei¹, LIU Guang-da¹, ZHANG Xiao-feng¹, WANG Chun-min², YANG Yu¹

1. College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China;
2. College of Optical and Electronical Information, Changchun University of Science and Technology, Changchun 130012, China

Received:2010-11-24 Online:2012-07-01 Published:2012-07-01

摘要/Abstract

摘要： 在利用脉搏波信号计算生命体征时,为检测并排除严重失真的脉搏波信号,综合利用欧氏距离、脉搏波传导时间以及脉搏波波形系数,提出一个用于判断脉搏波失真度的参数——脉搏波联合特征系数。其中在计算欧氏距离的过程中,利用心电信号R波对PPG信号进行多段分割,对每小段进行时间轴归一化处理以抑制欧氏距离对时间轴伸缩的敏感度。通过分析实测脉搏波信号,验证了本文算法能准确识别失真波形。

关键词: 信息处理技术, 脉搏波, 心电图, 脉搏波联合特征系数

Abstract: Because Photoplethysmography (PPG) signal is disturbed by breath, position and movement, it is necessary to detect and remove disturbed signal before computing the user's vital sign. Based on Euclidean distance, pulse wave transit time and coefficient of the pulse waveform, this paper presents a parameter, called associate factor of pulse wave, which is used to detect abnormal pulse waveform. The PPG time serious is divided into pieces using R wave of Electrocardiogram (ECG) signal; the time line of each piece of PPG signal is normalized in order to inhibit sensitive issue of time line in Euclidean distance calculation. The accuracy and feasibility of the proposed algorithm in identifying abnormal waveform are verified by analyzing measured pulse wave signal.

Key words: information processing, pulse waves, electrocardiogram(ECG), associate factor of pulse features

中图分类号:

TN911.72

郭维, 刘光达, 张晓枫, 王春民, 杨宇. 基于多特征参数综合分析脉搏波信号失真度算法的实现[J]. , 2012, 42(04): 1044-1048.

GUO Wei, LIU Guang-da, ZHANG Xiao-feng, WANG Chun-min, YANG Yu. Realization of algorithm of abnormal pulse wave signal detection based on associate factor of pulse features[J]. , 2012, 42(04): 1044-1048.

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