ArticleMicromachines2016
A Novel Classification Technique of Arteriovenous Fistula Stenosis Evaluation Using Bilateral PPG Analysis.
Article in Micromachines, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 35 citations in OpenAlex.
- Comparison of the primary outcome of the radial artery deviation and reimplantation technique and the ultrasound-guided percutaneous transluminal angioplasty in the treatment of forearm arteriovenous fistula type I stenosis in haemodialysis patients: a pilot study.International urology and nephrology · 2025Article
- Experimental Setup for the Validation of Photoplethysmography Devices for the Evaluation of Arteriovenous Fistulas.Bioengineering (Basel, Switzerland) · 2025Article
- Tensor decomposition and machine learning for the detection of arteriovenous fistula stenosis: An initial evaluation.PloS one · 2023Article
- MicroRNA-375-3p is implicated in carotid artery stenosis by promoting the cell proliferation and migration of vascular smooth muscle cells.BMC cardiovascular disorders · 2021Article
- Arteriovenous Fistula Flow Dysfunction Surveillance: Early Detection Using Pulse Radar Sensor and Machine Learning Classification.Biosensors · 2021Article
- Machine learning-based operation skills assessment with vascular difficulty index for vascular intervention surgery.Medical & biological engineering & computing · 2020Article
- Machine Learning Classification for Assessing the Degree of Stenosis and Blood Flow Volume at Arteriovenous Fistulas of Hemodialysis Patients Using a New Photoplethysmography Sensor Device.Sensors (Basel, Switzerland) · 2019Article
- Levenberg-Marquardt Neural Network Algorithm for Degree of Arteriovenous Fistula Stenosis Classification Using a Dual Optical Photoplethysmography Sensor.Sensors (Basel, Switzerland) · 2018Article
- Development of an AVF Stenosis Assessment Tool for Hemodialysis Patients Using Robotic Ultrasound System.Micromachines · 2018Article
- Identification of Cerebral Artery Stenosis Using Bilateral Photoplethysmography.Journal of healthcare engineering · 2018Article
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Authors and funding
2 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
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.
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