基于12导联的心电特征可视化分析  

Visual analysis of ECG characteristics based on 12 leads

作　　者：王佳琪 袁永峰[2] WANG Jiaqi;YUAN Yongfeng(College of Information and Computer Engineering,Northeast Forestry University,Harbin 150040,China;School of Computer Science and Technology,Harbin Institute of Technology,Harbin 150001,China)

机构地区：[1]东北林业大学信息与计算机工程学院,哈尔滨150040 [2]哈尔滨工业大学计算机科学与技术学院,哈尔滨150001

出　　处：《智能计算机与应用》2020年第6期51-54,58,共5页Intelligent Computer and Applications

基　　金：国家自然科学基金面上项目(61572152)。

摘　　要：近年来,心脑血管患病数超过2.9亿,死亡率仍处在上升阶段,防治心血管病刻不容缓,心电技术尤为重要。临床诊断通常采用12导联系统,同时配合可视化技术可以较为直观地反映心脏的信号传播活动。利用12导联ECG可视化技术分析心电特征对于不同疾病的差异程度,首先利用GQRS-极值法对心电信号进行波峰识别,其次将提取到的心电特征进行统计分析,最后通过信息增益的方法分析各特征之间的差异。对于疾病异常情况,可以通过本文的心电特征可视化分析技术快速反映心脏不同部位的病变程度。In recent years,the number of cardiovascular and cerebrovascular diseases has exceeded 290 million,and the mortality rate is still in the rising stage.The prevention and treatment of cardiovascular diseases cannot be delayed.Therefore,electrocardiography is particularly important.Clinical diagnosis usually adopts 12-lead system,together with visualization technology can more intuitively reflect the heart's signal propagation activity.In this paper,the 12-lead ECG visualization technology is used to analyze the degree of difference in ECG characteristics for different diseases.First,the GQRS-extreme method is used to identify the peaks of the ECG signal,followed by statistical analysis of the extracted ECG characteristics,and finally the information gain The method analyzes the differences between features.For abnormal conditions of the disease,the visual analysis technology of ECG characteristics in this paper can quickly reflect the degree of lesions in different parts of the heart.

关 键 词：12导联 疾病 心电特征 差异程度 可视化 

分 类 号：TP305[自动化与计算机技术—计算机系统结构]