Literature DB >> 17709064

Developing classification indices for Chinese pulse diagnosis.

Jian-Jun Shu1, Yuguang Sun.   

Abstract

AIM: To develop classification criteria for Chinese pulse diagnosis and to objectify the ancient diagnostic technique.
METHODS: Chinese pulse curves are treated as wave signals. Multidimensional variable analysis is performed to provide the best curve fit between the recorded Chinese pulse waveforms and the collective Gamma density functions.
RESULTS: Chinese pulses can be recognized quantitatively by the newly-developed four classification indices, that is, the wave length, the relative phase difference, the rate parameter, and the peak ratio. The new quantitative classification not only reduces the dependency of pulse diagnosis on Chinese physician's experience, but also is able to interpret pathological wrist-pulse waveforms more precisely.
CONCLUSIONS: Traditionally, Chinese physicians use fingertips to feel the wrist-pulses of patients in order to determine their health conditions. The qualitative theory of the Chinese pulse diagnosis is based on the experience of Chinese physicians for thousands of years. However, there are no quantitative theories to relate these different wrist-pulse waveforms to the health conditions of patients. In this paper, new quantified classification indices have been introduced to interpret the Chinese pulse waveform patterns objectively.

Entities:  

Mesh:

Year:  2006        PMID: 17709064     DOI: 10.1016/j.ctim.2006.06.004

Source DB:  PubMed          Journal:  Complement Ther Med        ISSN: 0965-2299            Impact factor:   2.446


  10 in total

Review 1.  Pulse waveform analysis as a bridge between pulse examination in Chinese medicine and cardiology.

Authors:  Arthur de Sá Ferreira; Agnaldo José Lopes
Journal:  Chin J Integr Med       Date:  2013-04-02       Impact factor: 1.978

2.  Computerized wrist pulse signal diagnosis using modified auto-regressive models.

Authors:  Yinghui Chen; Lei Zhang; David Zhang; Dongyu Zhang
Journal:  J Med Syst       Date:  2009-09-10       Impact factor: 4.460

3.  Novel diagnostic model for the deficient and excess pulse qualities.

Authors:  Jaeuk U Kim; Young Ju Jeon; Young-Min Kim; Hae Jung Lee; Jong Yeol Kim
Journal:  Evid Based Complement Alternat Med       Date:  2011-09-05       Impact factor: 2.629

4.  Analysis and Recognition of Traditional Chinese Medicine Pulse Based on the Hilbert-Huang Transform and Random Forest in Patients with Coronary Heart Disease.

Authors:  Rui Guo; Yiqin Wang; Hanxia Yan; Jianjun Yan; Fengyin Yuan; Zhaoxia Xu; Guoping Liu; Wenjie Xu
Journal:  Evid Based Complement Alternat Med       Date:  2015-06-09       Impact factor: 2.629

5.  Association of hypertension with physical factors of wrist pulse waves using a computational approach: a pilot study.

Authors:  Bum Ju Lee; Young Ju Jeon; Boncho Ku; Jaeuk U Kim; Jang-Han Bae; Jong Yeol Kim
Journal:  BMC Complement Altern Med       Date:  2015-07-11       Impact factor: 3.659

6.  Diabetes Mellitus Type 2 and Yoga: Electro Photonic Imaging Perspective.

Authors:  Romesh Kumar Bhat; Ramesh Mavathur; T M Srinivasan
Journal:  Int J Yoga       Date:  2017 Sep-Dec

Review 7.  Can Traditional Chinese Medicine Diagnosis Be Parameterized and Standardized? A Narrative Review.

Authors:  Luís Carlos Matos; Jorge Pereira Machado; Fernando Jorge Monteiro; Henry Johannes Greten
Journal:  Healthcare (Basel)       Date:  2021-02-07

8.  New assessment model of pulse depth based on sensor displacement in pulse diagnostic devices.

Authors:  Jang-Han Bae; Young Ju Jeon; Jong Yeol Kim; Jaeuk U Kim
Journal:  Evid Based Complement Alternat Med       Date:  2013-09-26       Impact factor: 2.629

9.  Pulse-Wave-Pattern Classification with a Convolutional Neural Network.

Authors:  Gaoyang Li; Kazuhiro Watanabe; Hitomi Anzai; Xiaorui Song; Aike Qiao; Makoto Ohta
Journal:  Sci Rep       Date:  2019-10-17       Impact factor: 4.379

10.  A 3D Wrist Pulse Signal Acquisition System for Width Information of Pulse Wave.

Authors:  Chuanglu Chen; Zhiqiang Li; Yitao Zhang; Shaolong Zhang; Jiena Hou; Haiying Zhang
Journal:  Sensors (Basel)       Date:  2019-12-18       Impact factor: 3.576

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.