An Improved Approach to the Classification of Seven Common TCM Pulse Conditions
Pulse diagnosis with finger pulse-taking is popular in Chinese culture. Wrist pulse waveform analysis has becoming common in Traditional Chinese Medicine (TCM) engineering and diagnosis modernization. An improved two-step classification method is proposed in this paper to differentiate seven common TCM pulse conditions, include four mono and three concurrent pulses. For both time-domain and frequency-domain feature-based patterns, a total of ten effective discrimination functions (five for each domain ) are trained and tested for majority-rule based voting analysis. Case studies based on both basic one-step and improved two-step methods are given. Results show that the overall classification performance has been improved from 52％ to 57％ by introducing two-step method, and four out of seven individual classification accuracies are also improved.
TCM pulse conditions pulse waveform analysis similarity analysis majority-rule based voting classification
Chang Ma Chunming Xia Yiqirt Wang Haixia Yan Fufeng Li
Center for Mechatronics Engineering East China University of Science and Technology Shanghai, P.R.Ch School of Basic Medicine Shanghai University of TCM Shanghai, P.R.China
国际会议
上海
英文
619-622
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）