Detection of ECG waveforms by neural networks

被引：50

作者：

Dokur, Z ^{[1
]}

Olmez, T

Yazgan, E

Ersoy, OK

机构：

[1] Istanbul Tech Univ, Dept Elect & Elect Engn, TR-80626 Istanbul, Turkey

[2] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA

来源：

MEDICAL ENGINEERING & PHYSICS | 1997年 / 19卷 / 08期

关键词：

neural networks; ECG waveforms; detection;

D O I：

10.1016/S1350-4533(97)00029-5

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In this study, ECG waveform detection was performed by using artificial neural networks (ANNs). Initially, the R peak of the QRS complex is detected, and then feature vectors are formed by using the amplitudes of the significant frequency components of the DFT spectrum. Grow and Learn (GAL) and Kohonen networks are comparatively investigated to detect four different ECG waveforms. The comparative performance results of GAL and Kohonen networks are reported. (C) 1997 IPEM Published by Elsevier Science Ltd.

引用

页码：738 / 741

页数：4