Arteriovenous Fistula Stenosis Detection using Noninvasive Bilateral PPG Technique with SVM-OAA Algorithm

Authors

  • Alphin Stephanus Electrical Engineering Department, Ambon State Polytechnic, Indonesia, Maluku Province, Ambon

DOI:

https://doi.org/10.31098/ic-smart.v1i1.34

Keywords:

AVS stenosis, bilateral photoplethysmograph, SVM-OAA

Abstract

This paper presents a bilateral photoplethysmography (PPG) based noninvasive technique for monitoring arteriovenous fistula (AVF) stenosis. Toward effectively extract the features of PPG and classification, a real-time processing method of feature detection and support vector machines one-against-all (SVM-OAA) were used. Preliminary findings from 22 subject tests showed that the proposed approach could be provided positive predictive value = 89.0 % and sensitivity = 83.3 % estimation of AVF stenosis.

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Published

2020-10-12

Issue

Vol. 1 No. 1 (2020): October 2020

Section

Articles

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