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

Alphin Stephanus

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.


Keywords


AVS stenosis, bilateral photoplethysmograph, SVM-OAA

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References


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

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