郑州大学学报（理学版）2017，Vol.49Issue(4)：100-103,4.DOI:10.13705/j.issn.1671-6841.2016340
基于改进小波变换的QRS特征提取算法研究
QRS Feature Extraction Algorithm Based on Wavelet Transform
张清丽 1苏士美 1王猛1
作者信息
- 1. 郑州大学电气工程学院 河南郑州450001
- 折叠
摘要
Abstract
An improved method of wavelet transform to detect ECG signal was proposed .Firstly, different methods were designed to remove ECG interference;then the improved wavelet transform method and the window function were used to detect the signal′s QRS wave; finally , the data in the MIT-BIH database was used to verify the accuracy and effectiveness .The results showed that the accuracy could reach 99.89%for R wave peak positioning , which could be a good foundation for other wave groups location . The result would be of great significance for the diagnosis of cardiovascular diseases .关键词
小波变换/特征提取/基线漂移/滤波/心肌梗死Key words
wavelet transform/feature extraction/baseline drift/filter/myocardial infarction分类
信息技术与安全科学引用本文复制引用
张清丽,苏士美,王猛..基于改进小波变换的QRS特征提取算法研究[J].郑州大学学报（理学版）,2017,49(4):100-103,4.
