Objective Collection and Analysis on Voice Signals of 231 Patients with Three Common Traditional Chinese Medicine Syndrome Types
10.11842/wst.2014.12.012
- VernacularTitle:231例中医3种常见证型患者语音客观化采集与分析＊
- Author:
Bin YAN
;
Yiqin WANG
;
Rui GUO
;
Peng QIAN
- Publication Type:Journal Article
- Keywords:
Traditional Chinese medicine auscultation diagnosis;
objective;
wavelet package technique;
type
- From:
World Science and Technology-Modernization of Traditional Chinese Medicine
2014;(12):2586-2592
- CountryChina
- Language:Chinese
-
Abstract:
This study was aimed to assist the clinic diagnosis and analysis with the application of modern ausculta-tion diagnosis technology. Meanwhile, this study provided certain objective evidences for traditional Chinese medicine (TCM) auscultation diagnosis in syndrome differentiation according to Zang-Fu. The Voice Sampling System of TCM was used in the collection of voice signals of patients with liver-depression and spleen-deficiency, deficiency of both heart and spleen, disharmony between heart and kidney (231 cases). Meanwhile, voice signals of healthy peo-ple (100 cases) were used as the control group. Based on wavelet packet decomposition and reconstruction technique, four kinds of featured parameters, including energy proportion, generalized energy proportion, energy gradient and generalized energy gradient, were extracted. The results showed that there were significant differences in multiple fre-quencies on energy proportion, generalized energy proportion, energy gradient and generalized energy gradient be-tween the liver-depression and spleen-deficiency, deficiency of both heart and spleen, disharmony between heart and kidney, and healthy people (P< 0.05). There were significant differences in multiple frequencies of four features a-mong samples from each type (P < 0.05). The generalized energy proportion of the deficiency of both heart and spleen type was higher than patients from other types and healthy people. The generalized energy gradient of healthy people was lower than the other three types. Differences were mainly posterior to the middle frequency segment. The recognition rate of three types and healthy people was ideal after feature screening. It was concluded that modern auscultation diagnosis technology can be used in the analysis of TCM phonetic feature parameters among common TCM syndrome types. The research results provided references for the objective study of TCM auscultation diagnosis. It provided theoretical evidences for the objective detection of TCM auscultation diagnosis and intelligent computer.
