计量学报Issue(3)：252-257,6.DOI:10.3969/j.issn.1000-1158.2014.03.12
二维主元分析法在心肌梗死心电信号检测中的应用
The Appiication of Two Dimensionai Principai Component Anaiysis in the Detection of Myocardiai infarction ECG Signais
摘要
Abstract
The joint energy percentage( EP)search method based on two dimensional principal component analysis is introduced to extract global features from 12-lead high resolution electrocardiogram( ECG)for the purpose of classification. Four types of classes are collected from PTB clinical diagnostic database,which corresponding patient’s statuses are health control,myocardial infarction( MI ) in early stage, MI in acute stage and MI in recover stage, respectively. The experimental results show that the information can be fused efficiently using the proposed method,which are from 12-lead ECG and the details contained in high frequency components of ECG. The average classification accuracy can be increased by 10. 43% compared with that of conventional principal component analysis. The ECG signal can be represented with lower dimensions compared with that of independent EP criterion,and an average classification accuracy of 99. 46% can be achieved.关键词
计量学/心电信号/主元分析/心肌梗死/特征提取Key words
Metrology/ECG signal/Principal component analysis/Myocardial infarction/Feature extraction分类
通用工业技术引用本文复制引用
葛丁飞,徐爱群..二维主元分析法在心肌梗死心电信号检测中的应用[J].计量学报,2014,(3):252-257,6.基金项目
国家自然科学基金（61074143）；浙江省自然科学基金（Y1100219）；浙江科技学院学科交叉预研专项重点项目 （）
