Author(s)

Yuesheng Lou

Corresponding Author

Yuesheng Lou

ABSTRACT

The objective of this study is to clarify the physical meaning and identification method of pulse signal characteristics in traditional Chinese medicine (TCM), realize the quantification of clinical pulse signal, and improve the diagnostic accuracy of TCM pulse condition. In this research, MP150 multipurpose polygraph is used to collect six pulse conditions (chord pulse, deep pulse, smooth pulse, thready pulse, moderate pulse, and flat pulse) of 100 volunteers, describe and analyze the signal characteristic parameters of pulse conditions, and evaluate the correlation between the signal characteristic parameters of pulse conditions and their types. In addition, BP neural network, fuzzy C-means method and fuzzy neural network are adopted to recognize six kinds of pulse signals, and the recognition rate under different methods is calculated. The results show that MP150 multipurpose polygraph can obtain the characteristic parameters of the pulse signal, and the parameters are correlated with the state of the pulse tube. The types of pulse conditions can be distinguished according to the signal characteristics of pulse conditions. The recognition rate of pulse condition by fuzzy neural network is significantly higher than that of BP neural network and fuzzy C-means method (P<0.05). Therefore, the signal characteristics of different pulse conditions are somewhat different, and the fuzzy neural network can accurately identify the pulse signals, which provides experimental data for the subsequent diagnosis and treatment of TCM.

KEYWORDS

Pulse signal characteristics in TCM, Physical meanings, Identification method, Fuzzy neural network, BP neural network