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Closed-loop real-time simulation model of hemodynamics and oxygen transport in the cardiovascular system
KTH, School of Technology and Health (STH), Medical Engineering, Medical Imaging.ORCID iD: 0000-0002-8987-9909
KTH, School of Technology and Health (STH), Medical Engineering, Medical Imaging.ORCID iD: 0000-0002-9654-447X
KTH, School of Technology and Health (STH), Medical Engineering, Medical Imaging.
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2013 (English)In: Biomedical engineering online, ISSN 1475-925X, Vol. 12, no 1, 69- p.Article in journal (Refereed) Published
Abstract [en]

Background: Computer technology enables realistic simulation of cardiovascular physiology. The increasing number of clinical surgical and medical treatment options imposes a need for better understanding of patient-specific pathology and outcome prediction. Methods: A distributed lumped parameter real-time closed-loop model with 26 vascular segments, cardiac modelling with time-varying elastance functions and gradually opening and closing valves, the pericardium, intrathoracic pressure, the atrial and ventricular septum, various pathological states and including oxygen transport has been developed. Results: Model output is pressure, volume, flow and oxygen saturation from every cardiac and vascular compartment. The model produces relevant clinical output and validation of quantitative data in normal physiology and qualitative directions in simulation of pathological states show good agreement with published data. Conclusion: The results show that it is possible to build a clinically relevant real-time computer simulation model of the normal adult cardiovascular system. It is suggested that understanding qualitative interaction between physiological parameters in health and disease may be improved by using the model, although further model development and validation is needed for quantitative patient-specific outcome prediction.

Place, publisher, year, edition, pages
2013. Vol. 12, no 1, 69- p.
Keyword [en]
Cardiovascular simulation, Time-varying elastance functions, Lumped parameter model, Valve model, Oxygen transport model, Computer simulation
National Category
Medical Image Processing
URN: urn:nbn:se:kth:diva-128495DOI: 10.1186/1475-925X-12-69ISI: 000323346300001ScopusID: 2-s2.0-84882957482OAI: diva2:648475
Swedish Research Council, 2012-2800

QC 20130916

Available from: 2013-09-16 Created: 2013-09-12 Last updated: 2014-11-22Bibliographically approved

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Broomé, MichaelMaksuti, EliraBjällmark, AnnaJanerot-Sjöberg, Birgitta
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