Med Biol Eng Comput - Phonographic signal with a fractional-order chaotic system: a novel and simple algorithm for analyzing residual arteriovenous access stenosis.

Tópicos

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Resumo

To detect the early developmental stages of arteriovenous access (AVA) stenosis in hemodialysis patients, this study explored a stenosis detector based on the Burg method and the fractional-order chaos system (FOCS). The bruit developed by the blood flowing through AVA can be a viable noninvasive strategy for monitoring AVA functions. We used the Burg method of the autoregressive model to estimate the frequency spectra of phonographic signals recorded by an electronic stethoscope in patients' AVAs and to identify the spectral peaks in the region of 25-800 Hz. The frequency spectra differed significantly between normal and stenosis statuses in AVA. We found that the frequency and amplitude in power spectra analysis varied in accordance with the severity of AVA stenosis. However, the correlation of these parameters for classifying the degree of stenosis is limited when only using the Burg method. Therefore, we used an FOCS to monitor the differing frequency spectra between the normal condition and AVA stenosis. The variances of these two conditions were dynamic errors that were the coupling variables that tracked the responses between the master system and the slave system. A total of 42 patients who had received percutaneous transluminal angioplasty (PTA) for their failing AVAs was recruited for this study. In this study, the dynamic error, Index , was used to calculate the frequency spectrum redistribution in patients undergoing PTA. In addition, Imp was the index used to evaluate improvements in the luminal diameter between pre- and post-PTA. Therefore, we used linear regression to model the relationship between Imp and Index . The findings indicate that the proposed method has enhanced efficiency, especially in the venous anastomosis (V-site). The FOCS is a novel and simple algorithm for analyzing the residual AVA stenosis of PTA treatment.

Resumo Limpo

detect earli development stage arterioven access ava stenosi hemodialysi patient studi explor stenosi detector base burg method fractionalord chao system foc bruit develop blood flow ava can viabl noninvas strategi monitor ava function use burg method autoregress model estim frequenc spectra phonograph signal record electron stethoscop patient ava identifi spectral peak region hz frequenc spectra differ signific normal stenosi status ava found frequenc amplitud power spectra analysi vari accord sever ava stenosi howev correl paramet classifi degre stenosi limit use burg method therefor use foc monitor differ frequenc spectra normal condit ava stenosi varianc two condit dynam error coupl variabl track respons master system slave system total patient receiv percutan translumin angioplasti pta fail ava recruit studi studi dynam error index use calcul frequenc spectrum redistribut patient undergo pta addit imp index use evalu improv lumin diamet pre postpta therefor use linear regress model relationship imp index find indic propos method enhanc effici especi venous anastomosi vsite foc novel simpl algorithm analyz residu ava stenosi pta treatment

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