基于小波包分解的心音信号特征提取算法

Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380) Pub Date : 1998-10-06 DOI:10.1109/TFSA.1998.721369

H. Liang, I. Nartimo

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引用次数: 67

摘要

提出了一种基于小波包分解(WPD)方法的心音信号特征提取算法。利用得到的特征向量将心音信号分为生理性杂音和病理性杂音。使用神经网络方法的分类表明准确率为85%。这可以有效地帮助医生做出最后的诊断。

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A feature extraction algorithm based on wavelet packet decomposition for heart sound signals

In this paper, a feature extraction algorithm based on the wavelet packet decomposition (WPD) method was developed for the heart sound signals. Feature vectors obtained were used to classify the heart sound signals into physiological and pathological murmurs. The classification using a neural network method indicated a 85 percent accuracy. This could be an effective assistance for medical doctors to make their final diagnoses.

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Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)

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