现代信息科技2025，Vol.9Issue(7)：83-86,92,5.DOI:10.19850/j.cnki.2096-4706.2025.07.015
基于神经网络自适应滤波器的中医脉象信号处理技术
TCM Pulse Signal Processing Technology Based on Neural Network Adaptive Filters
摘要
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.关键词
神经网络/自适应滤波器/中医脉象/信号处理/去噪Key words
Neural Network/adaptive filter/TCM pulse/signal processing/denoising分类
计算机与自动化引用本文复制引用
刘梦聪,冯波..基于神经网络自适应滤波器的中医脉象信号处理技术[J].现代信息科技,2025,9(7):83-86,92,5.
