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

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number6826471
Pages (from-to)590-600
Number of pages11
JournalIEEE Journal of Biomedical and Health Informatics
Volume19
Issue number2
DOIs
Publication statusPublished - 2015 Mar 1

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Health Information Management

Fingerprint Dive into the research topics of 'Residual stenosis estimation of arteriovenous grafts using a dual-channel phonoangiography with fractional-order features'. Together they form a unique fingerprint.

  • Cite this