Wavelet-neural processing for computer aided diagnosis

被引：0

作者：

Carranza, R ^{[1
]}

Andina, D ^{[1
]}

机构：

[1] Univ Catolica Boliviana, La Paz, Bolivia

来源：

MULTIMEDIA, IMAGE PROCESSING AND SOFT COMPUTING: TRENDS, PRINCIPLES AND APPLICATIONS | 2002年 / 13卷

关键词：

wavelet transform; neural networks; chagas disease; cardiopaties; ECG;

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：

This paper propose to apply Wavelet Transform theory in the analysis of Electro Cardiogram Signals (ECG) for the detection of particular spikes present in the Chagasic ECG. These signals are non-stationary, having spectral features that change in time due to unpredictable events, a fact that makes Wavelet Transform suitable for signal analysis and segmentation. After the Wavelet preprocessing, Neural Networks are a useful tool for Automatic Classification of ECG and to provide experts with an inherent estimation of the probability of symptoms of Chagas infection.

引用

页码：215 / 220

页数：6

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