Literature DB >> 10764936

Objective auscultation for traditional chinese medical diagnosis using novel acoustic parameters.

C C Chiu1, H H Chang, C H Yang.   

Abstract

The goal of this work is to propose novel acoustic parameters of voice for the purpose of providing a quantitative analysis of auscultation in traditional Chinese medical diagnosis. There is rare amount of available literature related to this topic. Four novel acoustic parameters, the average number of zero-crossings, the variations in local peaks and valleys, the variations in first and second formant frequencies, and the spectral energy ratio, are presented to analyze and identify the characteristics among non-vacuity, qi-vacuity, and yin-vacuity subjects. Among these acoustic parameters, two temporal parameters, the average number of zero-crossings and the variations in local peaks and valleys, outperformed other parameters in classifying both non-vacuity and deficient subjects. The spectral energy ratio was adequate for the classification between qi-vacuity and yin-vacuity patients. This research is a first step in an ongoing effort to modernize the auscultation in traditional Chinese medical diagnosis.

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Year:  2000        PMID: 10764936     DOI: 10.1016/s0169-2607(00)00055-9

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  5 in total

1.  Predicting frailty in older adults using vocal biomarkers: a cross-sectional study.

Authors:  Yu-Chun Lin; Huang-Ting Yan; Chih-Hsueh Lin; Hen-Hong Chang
Journal:  BMC Geriatr       Date:  2022-07-01       Impact factor: 4.070

2.  Nonlinear Analysis of Auscultation Signals in TCM Using the Combination of Wavelet Packet Transform and Sample Entropy.

Authors:  Jian-Jun Yan; Yi-Qin Wang; Rui Guo; Jin-Zhuan Zhou; Hai-Xia Yan; Chun-Ming Xia; Yong Shen
Journal:  Evid Based Complement Alternat Med       Date:  2012-05-29       Impact factor: 2.629

3.  A study of new pulse auscultation system.

Authors:  Ying-Yun Chen; Rong-Seng Chang
Journal:  Sensors (Basel)       Date:  2015-04-14       Impact factor: 3.576

Review 4.  Advances in Patient Classification for Traditional Chinese Medicine: A Machine Learning Perspective.

Authors:  Changbo Zhao; Guo-Zheng Li; Chengjun Wang; Jinling Niu
Journal:  Evid Based Complement Alternat Med       Date:  2015-07-12       Impact factor: 2.629

5.  Objective Auscultation of TCM Based on Wavelet Packet Fractal Dimension and Support Vector Machine.

Authors:  Jian-Jun Yan; Rui Guo; Yi-Qin Wang; Guo-Ping Liu; Hai-Xia Yan; Chun-Ming Xia; Xiaojing Shen
Journal:  Evid Based Complement Alternat Med       Date:  2014-05-05       Impact factor: 2.629

  5 in total

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