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

作　　者：刘梦聪 冯波 LIU Mengcong;FENG Bo(Yan'an University,Yan'an 716000,China)

机构地区：[1]延安大学,陕西延安716000

出　　处：《现代信息科技》2025年第7期83-86,92,共5页Modern Information Technology

摘　　要：中医脉象是传统中医诊断的重要部分,蕴含丰富临床信息。鉴于脉象信号具有随机性与复杂非平稳性,提出一种基于神经网络自适应滤波的中医脉象信号处理新技术。传统信号处理方法常难以有效对信号去噪和分类,制约了脉象的精准分析。自适应滤波器能融合神经网络优势,实时调整滤波参数,适配脉象信号的动态变化。文章分析了该技术在脉象信号去噪、特征提取及分类中的应用,其可提升信号处理的精度与效率,为中医诊断提供更可靠支撑,助力推动中医现代化进程。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 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TP273.4[自动化与计算机技术—控制科学与工程]