Reference : Study of ventricular interaction during pulmonary embolism using clinical identification...
Scientific congresses and symposiums : Paper published in a journal
Human health sciences : Cardiovascular & respiratory systems
http://hdl.handle.net/2268/33839
Study of ventricular interaction during pulmonary embolism using clinical identification in a minimum cardiovascular system model.
English
Desaive, Thomas mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles - Département d'astrophys., géophysique et océanographie (AGO) >]
Ghuysen, Alexandre mailto [Université de Liège - ULg > Département des sciences de la santé publique > Réanimation - Urgence extrahospitalière >]
Lambermont, Bernard mailto [Université de Liège - ULg > > Frais communs médecine >]
Kolh, Philippe mailto [Université de Liège - ULg > Département des sciences biomédicales et précliniques > Biochimie et physiologie générales, humaines et path. >]
Dauby, Pierre mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles >]
Starfinger, C. [> > > >]
Hann, C. E. [> > > >]
Chase, J. G. [> > > >]
Shaw, G. M. [> > > >]
2007
Proceedings of the IEEE
IEEE
2976-9
No
International
1557-170X
29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
du 23 au 26 août 2007
Lyon
France
[en] Animals ; Blood Flow Velocity ; Blood Pressure ; Cardiac Output ; Computer Simulation ; Heart Ventricles/physiopathology ; Models, Cardiovascular ; Pulmonary Artery/physiopathology ; Pulmonary Embolism/physiopathology ; Stroke Volume ; Swine
[en] Cardiovascular disturbances are difficult to diagnose and treat because of the large range of possible underlying dysfunctions combined with regulatory reflex mechanisms that can result in conflicting clinical data. Thus, medical professionals often rely on experience and intuition to optimize hemodynamics in the critically ill. This paper combines an existing minimal cardiovascular system model with an extended integral based parameter identification method to track the evolution of induced pulmonary embolism in porcine data. The model accounts for ventricular interaction dynamics and is shown to predict an increase in the right ventricle expansion index and a decrease in septum volume consistent with known physiological response to pulmonary embolism. The full range of hemodynamic responses was captured with mean prediction errors of 4.1% in the pressures and 3.1% in the volumes for 6 sets of clinical data. Pulmonary resistance increased significantly with the onset of embolism in all cases, as expected, with the percentage increase ranging from 89.98% to 261.44% of the initial state. These results are an important first step towards model-based cardiac diagnosis in the Intensive Care Unit.
http://hdl.handle.net/2268/33839
10.1109/IEMBS.2007.4352954

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
lyon_revised.pdfNo commentaryAuthor postprint1.02 MBView/Open

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.