Sub-Healthy States Recognition Based on Wrist Pulse Diagnosis of Traditional Chinese Medicine

摘要

Sub-healthy state is a body condition between healthy status and disease status, and it's hard to be diagnosed by the current western medicine technique. However, Traditional Chinese Medicine (TCM) possesses some special effectiveness on treating sub-healthy state. We present a wrist pulse diagnosis based approach on discriminating sub-healthy state from the disease state and classifying three common syndromes of sub-healthy state, which are deficiency syndrome, excess syndrome and the mixing syndrome of deficiency and excess. Time domain parameters and frequency domain parameters are integrated together as the classification features, and Support Vector Machines (SVM) method is adopted. We achieve both high accuracy rate and recognition rate in the experiments.