Time-series NARX feedback neural network for forecasting impedance cardiography ICG missing points: a predictive model

Time-series NARX feedback neural network for forecasting impedance cardiography ICG missing points: a predictive model

One of the crucial steps in assessing hemodynamic parameters using impedance cardiography (ICG) is the detection of the characteristic points in the dZ/dt ICG complex, especially the X point. The most often estimated parameters from the ICG complex are stroke volume and cardiac output, for which is...

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Bibliographic Details
Main Authors: Sara Benouar, Malika Kedir-Talha, Fernando Seoane
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Physiology
Subjects:
artificial neural networks
NARX
impedance cardiography
machine learning
time-series predictive model
characteristic point detection
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2023.1181745/full

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https://www.frontiersin.org/articles/10.3389/fphys.2023.1181745/full

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