Applying Neural ODE-Based Cardiovascular Model Identification for Experimental Data Analysis-Reference-Cited by-同舟云学术

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Applying Neural ODE-Based Cardiovascular Model Identification for Experimental Data Analysis

Published:2024-05-23 Issue: Volume:48 Page:000437-000442
ISSN:
Container-title:2024 IEEE 18th International Symposium on Applied Computational Intelligence and Informatics (SACI)
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Author:

Antal Ákos¹,Szabó Bálint¹,Szlávecz Ákos¹,Kovács Katalin²,Chase J. Geoffrey³,Benyó Balázs¹^ORCID

Affiliation:

1. Budapest Univ. of Tech. and Eco.,Faculty of Elect. Eng. and Informatics,Dept. of Control Eng. and Inf. Tech.,Budapest,Hungary

2. Széchenyi István Univ.,Faculty Informatics and Elect. Eng.,Dept. of Informatics,Győr,Hungary

3. University of Canterbury,Dept. of Mech. Eng.,Christchurch,NZ

Funder

National Research Development and Innovation Office by OTKA K137995

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10619709/10619059/10619737.pdf?arnumber=10619737

Reference12 articles.

1. Fluid administration for acute circulatory dysfunction using basic monitoring

2. Model-based stressed blood volume is an index of fluid responsiveness;Pironet,2015

3. State Analysis of Total Stressed Blood Volume and Arterial Elastance During Induced Sepsis

4. Minimally Invasive Model Based Stressed Blood Volume as an Index of Fluid Responsiveness

5. Patient-Specific Monitoring and Trend Analysis of Model-Based Markers of Fluid Responsiveness in Sepsis: A Proof-of-Concept Animal Study

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