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Computer Methods and Programs in Biomedicine
Article . 2011 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2011
Data sources: DBLP
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Patient specific identification of the cardiac driver function in a cardiovascular system model

Authors: Hann, C. E.; Revie, J.; Stevenson, D.; Heldmann, S.; Desaive, Thomas; Froissart, C. B.; Lambermont, Bernard; +4 Authors

Patient specific identification of the cardiac driver function in a cardiovascular system model

Abstract

The cardiac muscle activation or driver function, is a major determinant of cardiovascular dynamics, and is often approximated by the ratio of the left ventricle pressure to the left ventricle volume. In an intensive care unit, the left ventricle pressure is usually never measured, and the left ventricle volume is only measured occasionally by echocardiography, so is not available real-time. This paper develops a method for identifying the driver function based on correlates with geometrical features in the aortic pressure waveform. The method is included in an overall cardiovascular modelling approach, and is clinically validated on a porcine model of pulmonary embolism. For validation a comparison is done between the optimized parameters for a baseline model, which uses the direct measurements of the left ventricle pressure and volume, and the optimized parameters from the approximated driver function. The parameters do not significantly change between the two approaches thus showing that the patient specific approach to identifying the driver function is valid, and has potential clinically.

Countries
Belgium, New Zealand
Keywords

Patient Identification Systems, Pulmonary embolism, Cardiovascular system model, Models, Theoretical, Systèmes cardiovasculaire & respiratoire, Sciences de la santé humaine, Field of Research::09 - Engineering::0903 - Biomedical Engineering, Cardiovascular & respiratory systems, Field of Research::11 - Medical and Health Sciences::1102 - Cardiovascular Medicine and Haematology, Humans, Cardiac driver function, Intensive care unit, Nursing Care, Human health sciences, Porcine model

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Average
Top 10%
Top 10%
Green
bronze