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Wavelet packet based analysis of sound of five internal organs in TCM

机译:基于小波包的中医五种内脏器官声音分析

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In this paper, wavelet packet is used to extract the feature of the energy, and nonparametric test is used to analyze the significant difference of the sound of energy feature. Auscultation diagnosis of TCM means to use the correspondence of five kinds of sounds to find out the lesion in five internal organs. The sound signal is a typical non-stationary signal. Wavelet analysis is more flexible, and it can obtain any resolutions of time domain or frequency domain. The feature parameter: energy is extracted by the wavelet packet and the values of the energy of healthy and unhealthy people are tested by the Mann-Whitey U test. The results of the test show that the vocal energy of unhealthy people is higher than that of healthy people.
机译:本文采用小波包提取能量特征,采用非参数检验分析能量特征的显着性差异。中医听诊诊断是指利用五种声音的对应关系,找出五个内脏器官的病变。声音信号是典型的非平稳信号。小波分析更加灵活,可以获取时域或频域的任何分辨率。特征参数:通过小波包提取能量,通过Mann-Whitey U检验对健康人和不健康人的能量值进行测试。测试结果表明,不健康人的声能高于健康人。

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