Early thrombus detection in ECMO with optimized impedance measurements: A simulative study

Extracorporeal oxygenation supports patients with severe cardiac or respiratory failure, with the oxygenator providing critical gas exchange. Thrombus formation in the oxygenator can impair efficiency and increase risks such as hemolysis and embolism, but existing detection methods are limited in ac...

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Main Authors: Slapal Filip, Silva Diogo F., Leonhardt Steffen, Walter Marian
Format: Article
Language:English
Published: Sciendo 2025-07-01
Series:Journal of Electrical Bioimpedance
Subjects:
Online Access:https://doi.org/10.2478/joeb-2025-0011
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author Slapal Filip
Silva Diogo F.
Leonhardt Steffen
Walter Marian
author_facet Slapal Filip
Silva Diogo F.
Leonhardt Steffen
Walter Marian
author_sort Slapal Filip
collection DOAJ
description Extracorporeal oxygenation supports patients with severe cardiac or respiratory failure, with the oxygenator providing critical gas exchange. Thrombus formation in the oxygenator can impair efficiency and increase risks such as hemolysis and embolism, but existing detection methods are limited in accuracy and timeliness. This study introduces a computational bioimpedance approach for early thrombus detection that integrates advanced modeling and machine learning techniques while preserving the oxygenator’s functionality.
format Article
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institution Kabale University
issn 1891-5469
language English
publishDate 2025-07-01
publisher Sciendo
record_format Article
series Journal of Electrical Bioimpedance
spelling doaj-art-472ac33ceaf14beaa56500c5d9c70f7a2025-08-20T03:43:56ZengSciendoJournal of Electrical Bioimpedance1891-54692025-07-01161808810.2478/joeb-2025-0011Early thrombus detection in ECMO with optimized impedance measurements: A simulative studySlapal Filip0Silva Diogo F.1Leonhardt Steffen2Walter Marian3Medical Information Technology, RWTH Aachen University, GermanyMedical Information Technology, RWTH Aachen University, Germany Department of Circuit Theory, CTU Prague, Czechia Department of Circuit Theory, CTU Prague, CzechiaExtracorporeal oxygenation supports patients with severe cardiac or respiratory failure, with the oxygenator providing critical gas exchange. Thrombus formation in the oxygenator can impair efficiency and increase risks such as hemolysis and embolism, but existing detection methods are limited in accuracy and timeliness. This study introduces a computational bioimpedance approach for early thrombus detection that integrates advanced modeling and machine learning techniques while preserving the oxygenator’s functionality.https://doi.org/10.2478/joeb-2025-0011thrombus detectionfinite element methodmachine learningsensitivity analysis
spellingShingle Slapal Filip
Silva Diogo F.
Leonhardt Steffen
Walter Marian
Early thrombus detection in ECMO with optimized impedance measurements: A simulative study
Journal of Electrical Bioimpedance
thrombus detection
finite element method
machine learning
sensitivity analysis
title Early thrombus detection in ECMO with optimized impedance measurements: A simulative study
title_full Early thrombus detection in ECMO with optimized impedance measurements: A simulative study
title_fullStr Early thrombus detection in ECMO with optimized impedance measurements: A simulative study
title_full_unstemmed Early thrombus detection in ECMO with optimized impedance measurements: A simulative study
title_short Early thrombus detection in ECMO with optimized impedance measurements: A simulative study
title_sort early thrombus detection in ecmo with optimized impedance measurements a simulative study
topic thrombus detection
finite element method
machine learning
sensitivity analysis
url https://doi.org/10.2478/joeb-2025-0011
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AT silvadiogof earlythrombusdetectioninecmowithoptimizedimpedancemeasurementsasimulativestudy
AT leonhardtsteffen earlythrombusdetectioninecmowithoptimizedimpedancemeasurementsasimulativestudy
AT waltermarian earlythrombusdetectioninecmowithoptimizedimpedancemeasurementsasimulativestudy