Assessment of inflow and outflow stenoses using big spectral data and radial-based colour relation analysis on in vitro arteriovenous graft biophysical experimental model

Assessment of inflow and outflow stenoses using big spectral data and radial-based colour relation analysis on in vitro arteriovenous graft biophysical experimental model

Dialysis vascular accesses are critical for dialysis therapy, but they frequently suffer from stenotic complications. Higher patency rates and thrombosis rates are a concern to nephrology nurses and patients. These complications are complex events, including inflow stenosis, outflow stenosis, and co...

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Bibliographic Details
Main Authors: Wei-Ling Chen, Chung-Dann Kan, Chia-Hung Lin
Format: Article
Language:English
Published: Wiley 2017-02-01
Series:IET Cyber-Physical Systems
Subjects:
Big Data
patient treatment
medical signal processing
learning (artificial intelligence)
diseases
clinical indication
machine learning method
DOS
degree of stenosis
frequency analysis technique
auscultation method
signal preprocessing specifications
virtual adult hand
dialysis circulation circuits
biophysical experimental model
nephrology nurses
thrombosis rates
patency rates
stenotic complications
dialysis therapy
dialysis vascular accesses
in vitro arteriovenous graft biophysical experimental model
radial-based colour relation analysis
big spectral data
outflow stenoses
inflow stenoses
Online Access:https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2016.0040

Internet

https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2016.0040

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