Estimation of pulsatile flow and differential pressure based on multi-layer perceptron using an axial flow blood pump

This study proposes a non-invasive method for estimating the pulsating flow and pressure difference, which uses the blood pump estimation model based on a multi-layer perceptron to calculate the flow and pressure difference under pulsating conditions. The model takes 11 parameters such as the rotati...

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Main Authors: Dang Caixin, Wang Shuai, Yu Zheqin, Wu Weiqiang, Wu Kun, Tan Jianping
Format: Article
Language:English
Published: Wiley 2020-10-01
Series:The Journal of Engineering
Subjects:
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2020.0045
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spelling doaj-d3ca1aacd0a64f819329cc57bdcbe4b22021-04-02T12:51:29ZengWileyThe Journal of Engineering2051-33052020-10-0110.1049/joe.2020.0045JOE.2020.0045Estimation of pulsatile flow and differential pressure based on multi-layer perceptron using an axial flow blood pumpDang Caixin0Wang Shuai1Yu Zheqin2Wu Weiqiang3Wu Kun4Tan Jianping5School of Mechanical and Electrical Engineering, Central South UniversitySchool of Mechanical and Electrical Engineering, Central South UniversitySchool of Mechanical and Electrical Engineering, Central South UniversitySchool of Mechanical and Electrical Engineering, Central South UniversitySchool of Mechanical and Electrical Engineering, Central South UniversitySchool of Mechanical and Electrical Engineering, Central South UniversityThis study proposes a non-invasive method for estimating the pulsating flow and pressure difference, which uses the blood pump estimation model based on a multi-layer perceptron to calculate the flow and pressure difference under pulsating conditions. The model takes 11 parameters such as the rotational speed, power, and pulsation waveform of the blood pump as the input and uses the pressure difference and flow as the output. The experimental results of 119,590 sample data show that the flow error of the training set of the blood pump estimation model is 0.14 l/min and the pressure difference error is 7.50 mmHg; the flow error of the test set is 0.14 l/min and the pressure difference error is 7.50 mmHg. Compared with the traditional flow and pressure prediction method, this method has higher precision, which will provide a certain technical accumulation for accurately estimating the flow and pressure difference of the blood pump in the pulsating conditions.https://digital-library.theiet.org/content/journals/10.1049/joe.2020.0045blood vesselsblood pressure measurementpulsatile flowhaemodynamicsmultilayer perceptronsbloodpumpspulsatile flowdifferential pressuremultilayer perceptronaxial flow blood pumpnoninvasive methodpulsating flowestimation modelpulsating conditionspulsation waveformflow errorpressure difference errortraditional flowpressure prediction method
collection DOAJ
language English
format Article
sources DOAJ
author Dang Caixin
Wang Shuai
Yu Zheqin
Wu Weiqiang
Wu Kun
Tan Jianping
spellingShingle Dang Caixin
Wang Shuai
Yu Zheqin
Wu Weiqiang
Wu Kun
Tan Jianping
Estimation of pulsatile flow and differential pressure based on multi-layer perceptron using an axial flow blood pump
The Journal of Engineering
blood vessels
blood pressure measurement
pulsatile flow
haemodynamics
multilayer perceptrons
blood
pumps
pulsatile flow
differential pressure
multilayer perceptron
axial flow blood pump
noninvasive method
pulsating flow
estimation model
pulsating conditions
pulsation waveform
flow error
pressure difference error
traditional flow
pressure prediction method
author_facet Dang Caixin
Wang Shuai
Yu Zheqin
Wu Weiqiang
Wu Kun
Tan Jianping
author_sort Dang Caixin
title Estimation of pulsatile flow and differential pressure based on multi-layer perceptron using an axial flow blood pump
title_short Estimation of pulsatile flow and differential pressure based on multi-layer perceptron using an axial flow blood pump
title_full Estimation of pulsatile flow and differential pressure based on multi-layer perceptron using an axial flow blood pump
title_fullStr Estimation of pulsatile flow and differential pressure based on multi-layer perceptron using an axial flow blood pump
title_full_unstemmed Estimation of pulsatile flow and differential pressure based on multi-layer perceptron using an axial flow blood pump
title_sort estimation of pulsatile flow and differential pressure based on multi-layer perceptron using an axial flow blood pump
publisher Wiley
series The Journal of Engineering
issn 2051-3305
publishDate 2020-10-01
description This study proposes a non-invasive method for estimating the pulsating flow and pressure difference, which uses the blood pump estimation model based on a multi-layer perceptron to calculate the flow and pressure difference under pulsating conditions. The model takes 11 parameters such as the rotational speed, power, and pulsation waveform of the blood pump as the input and uses the pressure difference and flow as the output. The experimental results of 119,590 sample data show that the flow error of the training set of the blood pump estimation model is 0.14 l/min and the pressure difference error is 7.50 mmHg; the flow error of the test set is 0.14 l/min and the pressure difference error is 7.50 mmHg. Compared with the traditional flow and pressure prediction method, this method has higher precision, which will provide a certain technical accumulation for accurately estimating the flow and pressure difference of the blood pump in the pulsating conditions.
topic blood vessels
blood pressure measurement
pulsatile flow
haemodynamics
multilayer perceptrons
blood
pumps
pulsatile flow
differential pressure
multilayer perceptron
axial flow blood pump
noninvasive method
pulsating flow
estimation model
pulsating conditions
pulsation waveform
flow error
pressure difference error
traditional flow
pressure prediction method
url https://digital-library.theiet.org/content/journals/10.1049/joe.2020.0045
work_keys_str_mv AT dangcaixin estimationofpulsatileflowanddifferentialpressurebasedonmultilayerperceptronusinganaxialflowbloodpump
AT wangshuai estimationofpulsatileflowanddifferentialpressurebasedonmultilayerperceptronusinganaxialflowbloodpump
AT yuzheqin estimationofpulsatileflowanddifferentialpressurebasedonmultilayerperceptronusinganaxialflowbloodpump
AT wuweiqiang estimationofpulsatileflowanddifferentialpressurebasedonmultilayerperceptronusinganaxialflowbloodpump
AT wukun estimationofpulsatileflowanddifferentialpressurebasedonmultilayerperceptronusinganaxialflowbloodpump
AT tanjianping estimationofpulsatileflowanddifferentialpressurebasedonmultilayerperceptronusinganaxialflowbloodpump
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