ECG classification based on support vector machine and wavelet transform

被引：0

作者：

Zhang Rui-min ^{[1
]}

Yuan Zhen-dong ^{[1
]}

机构：

[1] E China Normal Univ, Dept Math, Shanghai 200062, Peoples R China

来源：

Proceedings of 2004 Chinese Control and Decision Conference | 2004年

关键词：

support vector machine; ECG; wavelet transform; statistical learning theory;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new method of ECG classifications is presented by using wavelet transform and support vector machine. Firstly, wavelet transform is applied to extract the features of ECG and to eliminate the noise and redundancies of ECG. Then a support vector machine classifier is constructed and applied to ECG classification. Comparing with the classification of ECG by eyes, the classification results is much more precise.

引用

页码：633 / +

页数：4