基于神經(jīng)網(wǎng)絡(luò)自適應(yīng)濾波器的中醫(yī)脈象信號處理技術(shù)

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中圖分類號：TP183；TP273+.4 文獻標識碼：A 文章編號：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

本研究中基于神經(jīng)網(wǎng)絡(luò)自適應(yīng)濾波器的中醫(yī)脈象信號處理技術(shù)，具備重要的理論與實踐意義。（剩余5595字）