Developing classification indices for Chinese pulse diagnosis

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Developing classification indices for Chinese pulse diagnosis

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Title: Developing classification indices for Chinese pulse diagnosis
Author: Shu, Jian Jun; Sun, Yuguang
Copyright year: 2006
Abstract: 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.
Subject: DRNTU::Engineering::Mathematics and analysis.
Type: Journal Article
Series/ Journal Title: Complementary therapies in medicine
School: School of Mechanical and Aerospace Engineering
Rights: © 2006 Elsevier. This is the author created version of a work that has been peer reviewed and accepted for publication by Complementary Therapies in Medicine, Elsevier.  It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document.  The published version is available at: [DOI: http://dx.doi.org/10.1016/j.ctim.2006.06.004].
Version: Accepted version

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