Residual stenosis estimation of arteriovenous grafts using a dual-channel phonoangiography with fractional-order features

Yi Chun Du, Wei Ling Chen, Chia Hung Lin, Chung Dann Kan, Ming Jui Wu

研究成果: Article同行評審

14 引文 斯高帕斯(Scopus)

摘要

The residual stenosis estimation of an arteriovenous shunt is a valuable for evaluating outcomes of percutaneous transluminal angioplasty (PTA) treatment and surgical revision. This paper proposes a dual-channel phonoangiography (PCG) with fractional-order features to estimate the residual of stenosis estimation of arteriovenous shunt. The auscultation technique provides a noninvasive tool to monitor the degrees of arteriovenous grafts (AVGs). Then, support methods, such as the Burg autoregressive (AR) method and self-synchronization error formulation (SSEF), are used to extract fractional-order features between the loop site (L-site) and venous anastomosis site (V-site). Using 2-D patterns (nonlinear mapping), a generalized regression neural network (GRNN) is designed as a nonlinear estimate model to indicate the outcome of surgical revision or AVG stenosis upon routine monthly examinations. For 42 long-term follow-up patients, the results of examination show the proposed GRNN-based screening model efficiently estimates residual stenosis.

原文English
文章編號6826471
頁(從 - 到)590-600
頁數11
期刊IEEE Journal of Biomedical and Health Informatics
19
發行號2
DOIs
出版狀態Published - 2015 三月 1

All Science Journal Classification (ASJC) codes

  • 生物技術
  • 電腦科學應用
  • 電氣與電子工程
  • 健康資訊管理

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