ISSN : 1796-217X
Volume : 4    Issue : 4    Date : June 2009

A Quantitative Method for Pulse Strength Classification Based on Decision Tree
Huiyan Wang and Peiyong Zhang
Page(s): 323-330
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Pulse diagnosis is one of the most important examinations in Traditional Chinese Medicine (TCM).
In response to the subjectivity and fuzziness of pulse diagnosis in TCM, quantitative systems or
methods are needed to modernize pulse diagnosis. In pulse diagnosis, strength is one of the most
difficult factors to recognize. To explore the quantitative recognition of pulse strength, a novel
method based on decision tree (DT) is presented. The proposed method is testified by applying it to
classify four hundreds pulse signal samples collected from clinic. The results are mostly accord
with the expertise, which indicate that the method we proposed is feasible and effective and can
identify pulse signals accurately, which can be expected to facilitate the modernization of pulse

Index Terms
pulse signal identification; decision tree; feature selection; quantitative diagnosis