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Stamatia Pagoulatou
École Polytechnique Fédérale de Lausanne
11Publications
1H-index
4Citations
Publications 12
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#1Stamatia Pagoulatou (EPFL: École Polytechnique Fédérale de Lausanne)H-Index: 1
#2Vasiliki Bikia (EPFL: École Polytechnique Fédérale de Lausanne)
Last.Nikolaos Stergiopulos (EPFL: École Polytechnique Fédérale de Lausanne)H-Index: 48
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Mathematical models of the arterial tree constitute a valuable tool to investigate the hemodynamics of ageing and pathology. Rendering such models patient-specific could allow for the assessment of...
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#2Mauro FerraroH-Index: 3
Last.Nikolaos StergiopulosH-Index: 48
view all 9 authors...
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#2Mauro FerraroH-Index: 3
Last.Nikolaos StergiopulosH-Index: 48
view all 6 authors...
Last.Nikolaos StergiopulosH-Index: 48
view all 7 authors...
#2Jonathan P. MynardH-Index: 16
Last.Patrick SegersH-Index: 51
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#2Mauro FerraroH-Index: 3
Last.Nikolaos StergiopulosH-Index: 48
view all 6 authors...
Source
Source
#1Stamatia Pagoulatou (EPFL: École Polytechnique Fédérale de Lausanne)H-Index: 1
#2Nikolaos Stergiopulos (EPFL: École Polytechnique Fédérale de Lausanne)H-Index: 48
Although left ventricular end-systolic elastance (Ees) serves as a major index of cardiac contractility, a widely-accepted noninvasive estimation of Ees does not exist. To overcome this limitation, we developed a two-step inverse method that allows for its noninvasive estimation from measurements of aortic flow and brachial pressure using a previously validated one-dimensional model of the cardiovascular system. In a first step, aortic flow is set as the model input and the output brachial press...
1 CitationsSource
12