Article Details

Abstract

TCM pulse is an important part of traditional TCM diagnosis, which contains rich clinical information. In view of the randomness and complex non-stationarity of pulse signals, a new TCM pulse signal processing technology based on neural network adaptive filtering is proposed. Traditional signal processing methods are often difficult to effectively signal denoising and classification, which restricts the accurate analysis of pulse signals. The adaptive filter can integrate the advantages of neural network, adjust the filtering parameters in real-time, and adapt to the dynamic changes of pulse signals. This paper analyzes the application of this technology in pulse signal denoising, feature extraction and classification, which can improve the accuracy and efficiency of signal processing, provide more reliable support for TCM diagnosis, and help promote the modernization of TCM.

Keywords

Neural Network; adaptive filter; TCM pulse; signal processing; denoising

References

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About the authors

Liu Mengcong (2004-), female, Han ethnicity, from Baoding, Hebei Province, undergraduate studies, research direction: neural networks and pulse signal processing; Corresponding author: Feng Bo (1982-), male, Han nationality, from Jining, Shandong, lecturer, PhD, research direction: image recognition, surface quality detection.