Sub-Healthy States Recognition Based on Wrist Pulse Diagnosis of Traditional Chinese Medicine
Sub-healthy state is a body condition between healthy status and disease status, and its 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.
Sub-healthy state TCM Wrist pulse diagnosis SVM
Weitong Huang Baoxing Jiao Jiatuo Xu Luxiong Xu
Qinghai University, Department of Computer Technology & Applications, 810016 Tsinghua University, De Tsinghua University,Department of Computer Science and Technology,Beijing, 100084 Shanghai University of Traditional Chinese Medicine, Information and Technology Center of TCM, Shang Department of Electronic Engineering, Fuqing Branch of Fujian Normal University, Fujian Province, 35
国际会议
2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)
上海
英文
299-302
2010-12-25(万方平台首次上网日期,不代表论文的发表时间)