用小波变换确定心音特征

Proceedings of 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002) Pub Date : 2002-06-04 DOI:10.1109/CBMS.2002.1011370

M. N. Kurnaz, T. Ölmez

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引用次数: 8

摘要

提出了一种确定心音特征的方法。将小波变换应用于两个心音周期的窗口。对窗口内的信号进行两种分析:第一心音和第二心音的分割和特征的提取。分割后，在第六分解层利用小波细节系数形成特征向量。采用动态规划方法分析了最佳特征元素。

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Determination of features for heart sounds by using wavelet transforms

A method is presented to determine features of heart sounds. A wavelet transform is applied to a window of two periods of heart sounds. Two analyses are realized for the signals in the window: segmentation of the first and second heart sounds, and extraction of the features. After the segmentation, feature vectors are formed by using the wavelet detail coefficients at the sixth decomposition level. The best feature elements are analyzed by using dynamic programming.

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Proceedings of 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002)

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