Inflow and outflow stenoses screening on biophysical experimental arteriovenous graft using big spectral data and bidirectional associative memory machine learning model

Inflow and outflow stenoses screening on biophysical experimental arteriovenous graft using big spectral data and bidirectional associative memory machine learning model

Long-term repeating traumatic puncture is required for dialysis therapy, which results in frequent thrombosis and graduate vascular access stenosis, such as inflow or outflow stenosis and coexistence of both. An arteriovenous graft has a higher patency rate than an arteriovenous fistula. This study...

Full description

Bibliographic Details
Main Authors: Chia-Hung Lin, Wei-Ling Chen, Chung-Dann Kan
Format: Article
Language:English
Published: Wiley 2019-06-01
Series:IET Cyber-Physical Systems
Subjects:
diseases
bioacoustics
blood vessels
learning (artificial intelligence)
patient treatment
content-addressable storage
autoregressive processes
medical signal processing
spectral analysis
haemodynamics
acoustic data
burg autoregressive method
key frequency parameters
characteristic frequencies
power spectral densities
big data processing
intelligent machine learning model
bidirectional hetero-associative memory network
inflow site
outflow site
outflow stenoses
biophysical experimental arteriovenous graft
bidirectional associative memory machine
long-term repeating traumatic puncture
dialysis therapy
frequent thrombosis
graduate vascular access stenosis
arteriovenous fistula
dual-channel auscultation-based noninvasive method
frequency analysis
phonoangiography signals
frequency features
data length
patency rate
big spectral data
Online Access:https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2018.5030

Internet

https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2018.5030

Similar Items