Deviation extraction of peak algorithm for QRS complex based on mathematical morphology

doi:10.3778/j.issn.1002-8331.2010.31.036

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (31): 127-129.DOI: 10.3778/j.issn.1002-8331.2010.31.036

• 数据库、信号与信息处理 • Previous Articles Next Articles

Deviation extraction of peak algorithm for QRS complex based on mathematical morphology

ZHENG Wei-qin，CHEN Hang，YE Shu-ming

College of Biomedical Engineering and Instrument Science，the Key Lab of Biomedical Engineering of Ministry of Education，Zhejiang University，Hangzhou 310027，China

Received:2010-03-17 Revised:2010-05-18 Online:2010-11-01 Published:2010-11-01
Contact: ZHENG Wei-qin

基于数学形态学的QRS波差位波峰提取方法

郑唯琴，陈杭，叶树明

浙江大学生物医学工程与仪器科学学院，生物医学工程教育部重点实验室，杭州 310027

通讯作者: 郑唯琴

Abstract

Abstract: Based on mathematical morphology and the extraction of peaks and troughs algorithm，the deviation extraction of peak algorithm（PDE algorithm） is proposed.The original signals are processed by opening and closing operation，delay processing，the subtracter，the adder and moving-window integration.Then the high-amplitude peaks are extracted and the high-frequency noises are suppressed.Evaluated on the MIT-BIH arrhythmia database，the sensitivity of QRS is 99.85%，and the specificity is 99.84%.

Key words: mathematical morphology, PDE algorithm, QRS complexes, high-frequency noises

摘要： 基于数学形态学和波峰波谷提取算法，提出了差位波峰提取算法（PDE算法）。先对原始信号通过开和闭运算、延时、相减和相加提取高幅值波峰波谷，通过绝对值和移动窗口整合运算处理获得高幅值的波峰和抑制高频噪声。经MIT-BIH数据库评估，QRS波检测的灵敏度达99.85%，特异性达99.84%。

关键词: 数学形态学, 差位波峰提取算法, QRS波, 高频噪声

CLC Number:

R318.11

ZHENG Wei-qin，CHEN Hang，YE Shu-ming. Deviation extraction of peak algorithm for QRS complex based on mathematical morphology[J]. Computer Engineering and Applications, 2010, 46(31): 127-129.

郑唯琴，陈杭，叶树明. 基于数学形态学的QRS波差位波峰提取方法[J]. 计算机工程与应用, 2010, 46(31): 127-129.

[1]	DU Shulin, QIU Weigen, ZHANG Lichen. Review of Component Tree Theory and Methods [J]. Computer Engineering and Applications, 2019, 55(12): 44-53.
[2]	CUI Liqun, ZHANG Yue, TIAN Xin. Fusion of double threshold and improved morphological edge detection [J]. Computer Engineering and Applications, 2017, 53(9): 190-194.
[3]	DENG Shichao, HUANG Yin. Fast algorithm of dilation and erosion for binary image [J]. Computer Engineering and Applications, 2017, 53(5): 207-211.
[4]	ZANG Yichao1, QIU Han1，2, ZHOU Tianyang1，2, ZHU Junhu1，2. Mathematical morphology based time series similarity measure [J]. Computer Engineering and Applications, 2017, 53(24): 64-68.
[5]	XIAO Hongguang1, WEN Jun1, CHEN Lifu2, SHI Changqiong1. New road extraction algorithm of high resolution SAR image [J]. Computer Engineering and Applications, 2016, 52(15): 198-202.
[6]	ZHOU Leqian, GUO Siyu, WEN He, ZHANG Yi. Improved algorithm of large structural elements basic binary morphological operations [J]. Computer Engineering and Applications, 2016, 52(1): 190-194.
[7]	MA Shuang1, CHEN Jiangning2, LU Hu3，FAN Yangyu1. Approach for license plate location using edge features filter and multi-decision mechanism [J]. Computer Engineering and Applications, 2014, 50(9): 145-149.
[8]	XU Yi, DENG Tingquan. Image edge linking method based on path morphology [J]. Computer Engineering and Applications, 2014, 50(7): 180-185.
[9]	REN Linghui1, ZHANG Haiyan2, XU Zhuofei1, HUANG Qing3. Printing shock-streak characteristic parameter extraction based on image processing [J]. Computer Engineering and Applications, 2014, 50(4): 157-160.
[10]	WANG Yiyan. Robust color image edge detection algorithm based on mathematical morphology [J]. Computer Engineering and Applications, 2013, 49(6): 12-15.
[11]	CHEN Enqing, LI Xiaolei. Novel morphology edge detection algorithm using multiple structuring element templates [J]. Computer Engineering and Applications, 2013, 49(17): 146-149.
[12]	SHI Jinwei, GUO Chaoyong, LIU Hongning, QIAO Kun. Fast method for image of bullet’s primer surface defect extraction [J]. Computer Engineering and Applications, 2013, 49(17): 154-158.
[13]	ZHANG Yunqiang, ZHANG Peilin, WANG Guode. Research on automatic extraction of wear particles for ferrographic images [J]. Computer Engineering and Applications, 2013, 49(16): 175-178.
[14]	PAN Lan1, LV Zhiyong2, HUANG Cheng1, WANG Zhongjun1. 3-D reconstruction model based on mathematical morphology operators [J]. Computer Engineering and Applications, 2012, 48(36): 216-220.
[15]	JIANG Weiwei, LU Changhua, GUO Mingming. Research of improved CB morphology image filtering [J]. Computer Engineering and Applications, 2012, 48(35): 143-146.

Deviation extraction of peak algorithm for QRS complex based on mathematical morphology

基于数学形态学的QRS波差位波峰提取方法

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics