Application of a BP Network Based on PCA in ECG Diagnosis of the LVH

被引：0

作者：

Liu, Guangchen ^{[1
]}

Song, Mei ^{[1
]}

机构：

[1] Ludong Univ, Sch Math & Informat, Yantai, Peoples R China

来源：

2009 3RD INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, VOLS 1-11 | 2009年

关键词：

BP neural network; principal component analysis (PCA); ECG; Left Ventricular Hypertrophy (LVH);

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

A BP neural network model based on the principal component analysis (PCA) was proposed to predicate the Left Ventricular Hypertrophy (LVH), the results showed that, the prediction accuracy of the modified model (99.6%) was superior to the pure BP neural model without PCA (98.5%) obviously.

引用

页码：2673 / 2675

页数：3