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In this paper, the wavelet packet transform is introduced to analyze the signal of TCM auscultation. To accomplish this, the energy feature of the signal is extracted after the signal is decomposed by the wavelet packet transform. Then the energy feature is analyzed by the nonparametric test. The five vowels /a:/, /e:/, /i:/, /o:/, /u:/ are analyzed in respectively. In each vowel, the samples are...
The purpose of this paper is to provide objective gist for organ differentiation of traditional Chinese medicine (TCM). In this paper, we collected 803 voice signals of patients with five internal organs illness and 100 voice signals of normal persons. We extracted the sample entropy characteristic of each group when embedded dimension was 2. By analyzing the statistics result, we found: (1) the sample...
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...
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