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Micromachines 2016, 7(9), 147; doi:10.3390/mi7090147

A Novel Classification Technique of Arteriovenous Fistula Stenosis Evaluation Using Bilateral PPG Analysis

Department of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan City 71005, Taiwan
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Author to whom correspondence should be addressed.
Academic Editors: Teen-Hang Meen, Shoou-Jinn Chang, Stephen D. Prior and Artde Donald Kin-Tak Lam
Received: 23 June 2016 / Revised: 16 August 2016 / Accepted: 18 August 2016 / Published: 23 August 2016
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Abstract

The most common treatment for end-stage renal disease (ESRD) patients is the hemodialysis (HD). For this kind of treatment, the functional vascular access that called arteriovenous fistula (AVF) is done by surgery to connect the vein and artery. Stenosis is considered the major cause of dysfunction of AVF. In this study, a noninvasive approach based on asynchronous analysis of bilateral photoplethysmography (PPG) with error correcting output coding support vector machine one versus rest (ESVM-OVR) for the degree of stenosis (DOS) evaluation is proposed. An artificial neural network (ANN) classifier is also applied to compare the performance with the proposed system. The testing data has been collected from 22 patients at the right and left thumb of the hand. The experimental results indicated that the proposed system could provide positive predictive value (PPV) reaching 91.67% and had higher noise tolerance. The system has the potential for providing diagnostic assistance in a wearable device for evaluation of AVF stenosis. View Full-Text
Keywords: arteriovenous fistula (AVF) stenosis; bilateral photoplethysmography (PPG); error correcting output coding support vector machine-one versus rest (ESVM-OVR); artificial neural network (ANN); degree of stenosis (DOS); positive predictive value (PPV) arteriovenous fistula (AVF) stenosis; bilateral photoplethysmography (PPG); error correcting output coding support vector machine-one versus rest (ESVM-OVR); artificial neural network (ANN); degree of stenosis (DOS); positive predictive value (PPV)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Du, Y.-C.; Stephanus, A. A Novel Classification Technique of Arteriovenous Fistula Stenosis Evaluation Using Bilateral PPG Analysis. Micromachines 2016, 7, 147.

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