中国组织工程研究

中国组织工程研究 ›› 2013, Vol. 17 ›› Issue (4): 653-657.doi: 10.3969/j.issn.2095-4344.2013.04.014

• 骨与关节图像与影像 bone and joint imaging • 上一篇    下一篇

一种基于二维云模型理论心电信号ST段的检测方法

刘新旭1，苏智剑1，高振奎1，刘延涛1，夏振宏2，刘 娜3   

  1. 1郑州大学机械工程学院，河南省郑州市 450001
    2河南华南医电科技有限公司，河南省郑州市 450001
    3河南英威东风机械制造有限公司，河南省郑州市 434700
  • 收稿日期:2012-05-27 修回日期:2012-07-12 出版日期:2013-01-22 发布日期:2013-01-22
  • 通讯作者: 苏智剑，博士，教授，郑州大学机械工程学院，河南省郑州市 450001 szj@zzu.edu.cn
  • 作者简介:刘新旭★，女，河南省平顶山市人，汉族，2012年郑州大学毕业，硕士，主要从事计算机辅助设计和信号处理方面的研究。

Detection of ST segment in electrocardiogram signal based on two-dimensional cloudy model theory

Liu Xin-xu1, Su Zhi-jian1, Gao Zhen-kui1, Liu Yan-tao1, Xia Zhen-hong2, Liu Na3   

  1. 1 School of Mechanical Engineering, Zhengzhou University, Zhengzhou 450001, Henan Province, China
    2 Huanan Medical Science and Technology Co., Ltd., Zhengzhou 450001, Henan Province, China
    3 Yingwei Dongfeng Manufacturing Co., Ltd., Zhengzhou 434700, Henan Province, China
  • Received:2012-05-27 Revised:2012-07-12 Online:2013-01-22 Published:2013-01-22
  • Contact: Su Zhi-jian, Doctor, Professor, School of Mechanical Engineering, Zhengzhou University, Zhengzhou 450001, Henan Province, China szj@zzu.edu.cn
  • About author:Liu Xin-xu★, Master, School of Mechanical Engineering, Zhengzhou University, Zhengzhou 450001, Henan Province, China

PDF

549

被引次数

4

摘要：

背景：目前对于异常ST段的形态特征的评价体系，尚无精确数学化模型分类及识别标准，这阻碍了对某些心血管疾病进行计算机自动识别程序算法的进展。
目的：找到一种符合医学诊断逻辑思维的心电信号ST段分析方法，为心电图ST段变化的实时分析提供新的思路。
方法：针对采集的心电数据模糊性和随机性较大的特点，提出了一种基于两维云模型的心电信号ST段的检测方法，其对二维正态云发生器隶属度进行判断，并进行心电信号ST段的形态判定。
结果与结论：利用Matlab对本算法进行仿真，并通过标准心电数据库(欧共体CSE数据库)中数据进行算法准确性验证，统计结果表明该算法ST段的识别率较高，对于大数据量的心电信号处理快捷有效，为ST段的准确分析提供了新的方法。

关键词: 骨关节植入物, 骨与关节图像与影像, 心电信号, ST段, 信号处理, 二维云模型, 聚类分析, CSE数据库, 数字化医学, 其他基金, 骨关节植入物图片文章

Abstract:

BACKGROUND: There is no precise classificated mathematical model and identification standard for the morphological characteristics of abnormal ST segment, and therefore, the improvement of automatical recognization will be limited in some cardiovascular diseases diagnoses.
OBJECTIVE: To find a new method meeting the medical diagnosis logical thinking for analyzing the ST segment in electrocardiogram signal, and to provide new ideas for real-time analysis of the changes ofelectrocardiogram of ST segment.
METHODS: A new algorithm for detecting ST segment in electrocardiogram signal based on two-dimensional cloudy model theory was proposed in view of the fuzziness and randomness of electrocardiogram signal. And then, it estimated the membership grade of two-dimensional cloud generator and identified the morphology of ST segment in electrocardiogram.
RESULTS AND DISCUSSION: The algorithm was simulated with Matlab, and the algorithm accuracy was verified by standard ECG database (European Community CSE database). The statistical results showed that the algorithm had a high identification rate of ST segment, and it was shortcut and effective for processing the large amount of data which provide a new method for the accurate analysis of the ST segment.

Key words: bone and joint implants, photographs and images of bone and joint, electrocardiogram signal, ST segment, signal processing, two-dimensional cloudy model, clustering analysis, the CSE database, digital medicine, other grants-supported paper, photographs-containing paper of bone and joint implants

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