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首页> 外文会议>International Symposium on Information Technologies in Medicine and Education;ITME 2012 >Evaluation of arteriovenous shunt stenosis in hemodialysis patients by using the burg method for autoregressive modeling
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Evaluation of arteriovenous shunt stenosis in hemodialysis patients by using the burg method for autoregressive modeling

机译：用burg方法自回归模型评价血液透析患者动静脉分流狭窄。

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This paper proposed the signal processing method for evaluation of arteriovenous shunt (AVS) stenosis in hemodialysis patients. AV shunts are surgically created pathological-physiological fistulas serving as access routes for end-stage renal disease (ESRD) patients. The distinct and periodic bruit of vascular shunts is clearly audible over the access routes. Thus, a bruit spectral analysis could be considered a valuable noninvasive method for quantifying the severity of vessel stenosis. This study collected phonoangiographic data from thirty AV shunts obtained from the electronic stethoscope during the pre- and post-percutaneous transluminal angioplasty (PTA) periods. An autoregressive (AR) model was applied to scientifically analyze the phonoangiographic signals. The AR model and the filter order of eight were chosen to estimate the characteristic frequency of the bruit. The AR model results obtained from the analysis of the phonoangiographic data under the pre-PTA and post-PTA conditions show significant changes in frequency and magnitude. These findings could serve as a noninvasive strategy for early detection of stenotic lesions.
机译：本文提出了一种评估血液透析患者动静脉分流（AVS）狭窄的信号处理方法。 AV分流器是通过手术产生的病理生理性瘘管，可作为终末期肾脏疾病（ESRD）患者的进入途径。在通路上清晰可见周期性分流的血管分流音。因此，杂散光谱分析可以被认为是量化血管狭窄严重程度的一种有价值的非侵入性方法。这项研究收集了在经皮腔内血管成形术（PTA）前后，从电子听诊器获得的30支AV分流器的声血管造影数据。应用自回归（AR）模型来科学分析声血管造影信号。选择AR模型和8个滤镜阶次以估计杂讯的特征频率。在PTA之前和PTA之后的条件下，通过对语音血管造影数据进行分析而获得的AR模型结果显示出频率和幅度的显着变化。这些发现可作为早期检测狭窄病变的一种非侵入性策略。

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