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冠心病无创检测新方法及系统设计

高宏建, 吴水才, 侯立亚, 白燕萍, 杨春兰

高宏建, 吴水才, 侯立亚, 白燕萍, 杨春兰. 冠心病无创检测新方法及系统设计[J]. 北京工业大学学报, 2008, 34(5): 556-560.
引用本文: 高宏建, 吴水才, 侯立亚, 白燕萍, 杨春兰. 冠心病无创检测新方法及系统设计[J]. 北京工业大学学报, 2008, 34(5): 556-560.
GAO Hong-jian, WU Shui-cai, HOU Li-ya, BAI Yan-ping, YANG Chun-lan. A New Method and System Designed for CAD Noninvasive Detecting[J]. Journal of Beijing University of Technology, 2008, 34(5): 556-560.
Citation: GAO Hong-jian, WU Shui-cai, HOU Li-ya, BAI Yan-ping, YANG Chun-lan. A New Method and System Designed for CAD Noninvasive Detecting[J]. Journal of Beijing University of Technology, 2008, 34(5): 556-560.

冠心病无创检测新方法及系统设计

基金项目: 

北京市教委基金(KB00190).

详细信息
    作者简介:

    高宏建(1981-),男,山东临清人,助教.

  • 中图分类号: R318.03;TH772+.2

A New Method and System Designed for CAD Noninvasive Detecting

  • 摘要: 提出了一种基于BP型人工神经网络的冠心病无创检测新方法,并设计了相应的诊断系统.该系统对人体体表心电信号进行处理,提取与冠心病有关的特征参数(RR间期,QRS波宽度,ST段电平和斜率),结合血压及个体基本信息(性别、年龄、体质量、是否吸烟等),利用BP型人工神经网络进行冠心病的无创检测和诊断.实验结果表明该方法具有一定的可操作性和实用性.
    Abstract: A new method for noninvasive detecting coronary artery disease(CAD) based on BP artificial neural network (ANN) is presented, and the diagnosis system is designed. The ECG signals from body surface are proceeded, and four character parameters (RR interval, width of QRS complex, scope and slope of ST segment) of the ECG, correlating with CAD, are computed. CAD is detected and diagnosed by using BPANN, which is imputed with character parameters of the ECG, blood pressure and basic information (sex, age, weight, smoking or not). Experiment results show that the method mentioned in this paper may be applied and easily manipulated for CAD diagnosis.
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出版历程
  • 收稿日期:  2006-12-04
  • 网络出版日期:  2022-12-14

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