基于神经网络自适应滤波器的中医脉象信号处理技术

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中图分类号：TP183；TP273+.4 文献标识码：A 文章编号：2096-4706（2025）07-0083-05

Abstract： TCMpulse is an important part of traditionalTCM diagnosis，whichcontains rich clinical information. In view oftherandomnessandcomplex non-stationarityofpulsesignals，anewTCMpulsesignalprocesing technologybasedonneural networkadaptiveflteringisproposed.Traditionalsignal processing methodsareoftendiffcult tofectivelysignal dnoising andclassification，whichrestricts teaurateanalysisofpulsesignals.Teadaptivefltercanintegatetheadvantagesoferal network，adjusttheflteringparameters inreal-time，andadapttothedynamicchangesofpulsesignals.Thispaperanalyesthe applicationofthistechnologyinpulssignaldenoising，featureextractonandlasifcation，whichcanimprovetheaccuracyand eficiencyofsignalprocessing，providemore reliable support forTCMdiagnosis，andhelppromotethe modermizationofTCM.

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

0 引言

本研究中基于神经网络自适应滤波器的中医脉象信号处理技术，具备重要的理论与实践意义。（剩余5595字）