基于matlab的操作员心电信号QRS波检测及分析

管天洋，黄宇霆，罗兴林，秦珂，叶永峰，王娆芬*

(电子电气工程学院，上海工程技术大学，上海市，201620)摘要：人体内蕴藏着十分丰富的生物电信号，心电信号是人体最重要的生理信号之一，其作为心脏电活动在人体体表的表现，能够准确传达出被测者的生理状况，及时的了解其生理状况才能够给出最合适的对其下一步的操作。本文通过编程实现了对QRS波群的检测，检测分为两个阶段：第一阶段是对心电信号极值的判断找到R波，由于R波两侧即为Q波和S波，所以第二阶段就是确定QS波。在找到准确的QRS波的基础上，计算了一些ECG 数据，分析了QRS波所得各波间隔的数据与标准值的相关性。

关键词：心电信号、QRS波群、QRS波检测。

QRS wave detection and analysis of the operator's ECG

signal based on MATLAB

Tianyang Guan,Yuting Huang,Xinglin Luo,Ke Qin,Yongfeng Ye,Raofen Wang*

(College of Electronic and Electrical Engineering, Shanghai University of Engineering Science,

Shanghai, 201620)

Abstract: Human intrinsic hidden very rich biological signals, the ECG signal is one of the body's most important physiological signal, which acts as the heart's electrical activity in the human body surface performance, can accurately convey the physiological condition of the examinee, timely understanding its physiological condition to be able to give the most appropriate action on its next step. By programming the detection of the QRS complex, testing is divided into two stages: the first stage is the ECG extremes judge found R-wave, due to the R wave on both sides is the Q wave and S wave, so the first the second phase is to determine the QS wave. Find accurate QRS wave on the basis of the calculation of the number of ECG data, we analyzed the correlation data obtained with the standard value of QRS wave interval of each wave.

Keywords:ECG signal, QRS wave group, QRS wave detection.

1引言

科学研究发现，人体蕴藏着各种各样的生物医学信号，部分信号对判断人体生命状况极其重要，而处理其中之一的心电信号是十分必要的。随着科技的发展，运用计算机来分析心电信号成了一种越来越流行的诊断手段。在心脏功能方面，心电监护方面，将病人的心电信号进行捕捉，然后与正常人的心电信号进行对比分析，可以检测出许多其他手段检测不出的细节信息。