This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Khan IA, Nair CK. Clinical, diagnostic and management perspectives of aortic dissection. Elsevier Chest. 2002; 122(1): 311–28. https://doi.org/10.1378/chest.122.1.311KhanIANairCKClinical, diagnostic and management perspectives of aortic dissection2002122131128https://doi.org/10.1378/chest.122.1.31110.1378/chest.122.1.31112114376Search in Google Scholar
Heuser J. Distributed under a CC-BY-SA-3.0 license Wikimedia Commons. 2016.HeuserJ2016Search in Google Scholar
Patchett N. Distributed under a CC BY-SA 4.0 license. Wikimedia Commons. 2015.PatchettNWikimedia Commons.2015Search in Google Scholar
Altamirano-Diaz L, Welisch E, Dempsey AA, Park TS, Grattan M, Norozi K. Non-invasive measurement of cardiac output in children with repaired coarctation of the aorta using electrical cardiometry compared to transthoracic Doppler echocardiography. Physiol Meas. 2018; 17;39(5): 055003. https://doi.org/10.1088/1361-6579/aac02bAltamirano-DiazLWelischEDempseyAAParkTSGrattanMNoroziKNon-invasive measurement of cardiac output in children with repaired coarctation of the aorta using electrical cardiometry compared to transthoracic Doppler echocardiography201817;395055003https://doi.org/10.1088/1361-6579/aac02b10.1088/1361-6579/aac02b29695645Search in Google Scholar
Reinbacher-Köstinger A, Badeli V, Biro O, Magele C. Numerical simulation of conductivity changes in the human thorax caused by aortic dissection. IEEE Trans. Magnetic. 2019;55(6): 5100304. https://doi.org/10.1109/tmag.2019.2895418Reinbacher-KöstingerABadeliVBiroOMageleCNumerical simulation of conductivity changes in the human thorax caused by aortic dissection20195565100304https://doi.org/10.1109/tmag.2019.289541810.1109/TMAG.2019.2895418Search in Google Scholar
Badeli V, Reinbacher-Köstinger A, Biro O, Magele C. Numerical simulation of impedance cardiogram changes in case of chronic aortic dissection. Springer, Singapore. 2020; In: Bertemes-Filho P. (eds) 17th International Conference on Electrical Bioimpedance. ICEBI 2019. IFMBE Proceedings, vol 72. https://doi.org/10.1007/978-981-13-3498-6_9BadeliVReinbacher-KöstingerABiroOMageleCSpringerSingapore2020In:Bertemes-FilhoP.(eds)17th International Conference on Electrical BioimpedanceICEBI 2019. IFMBE Proceedings, vol 72. https://doi.org/10.1007/978-981-13-3498-6_910.1007/978-981-13-3498-6_9Search in Google Scholar
Reinbacher-Köstinger A, Badeli V, Melito GM, Magele C, Biro O. Numerical simulation of various electrode configurations in impedance cardiography to identify aortic dissection. Springer, Singapore. 2020; In: Bertemes-Filho P. (eds) 17th International Conference on Electrical Bioimpedance. ICEBI 2019. IFMBE Proceedings, vol 72. https://doi.org/10.1007/978-981-13-3498-6_7Reinbacher-KöstingerABadeliVMelitoGMMageleCBiroOSpringerSingapore2020In:Bertemes-FilhoP.(eds)17th International Conference on Electrical BioimpedanceICEBI 2019. IFMBE Proceedings, vol 72. https://doi.org/10.1007/978-981-13-3498-6_710.1007/978-981-13-3498-6_7Search in Google Scholar
Bernstein DP. Impedance cardiography: Pulsatile blood flow and the biophysical and electrodynamic basis for the stroke volume equations. J Electr Bioimp. 2010; 1: 2–17. https://doi.org/10.5617/jeb.51BernsteinDPImpedance cardiography: Pulsatile blood flow and the biophysical and electrodynamic basis for the stroke volume equations20101217https://doi.org/10.5617/jeb.5110.5617/jeb.51Search in Google Scholar
Ulbrich M, Muhlsteff J, Leonhardt S, Walter M. Influence of physiological sources on the impedance cardiogram analyzed using 4D FEM simulations. Physiol. Meas. 2014; 35: 1451–1468. https://doi.org/10.1088/0967-3334/35/7/1451UlbrichMMuhlsteffJLeonhardtSWalterMInfluence of physiological sources on the impedance cardiogram analyzed using 4D FEM simulations20143514511468https://doi.org/10.1088/0967-3334/35/7/145110.1088/0967-3334/35/7/145124901446Search in Google Scholar
de Sitter A, Verdaasdonk RM, Faes TJC. Do mathematical model studies settle the controversy on the origin of cardiac synchronous transthoracic electrical impedance variations? A systematic review. Physiol. Meas. 2016; 37: R88–R108. https://doi.org/10.1088/0967-3334/37/9/r88de SitterAVerdaasdonkRMFaesTJCDo mathematical model studies settle the controversy on the origin of cardiac synchronous transthoracic electrical impedance variations? A systematic review201637R88R108https://doi.org/10.1088/0967-3334/37/9/r8810.1088/0967-3334/37/9/R8827531544Search in Google Scholar
Alastruey J, Xiao N, Fok H, Schaeffter T, Figueroa CA. On the impact of modelling assumptions in multi-scale, subject-specific models of aortic haemodynamics. J. Roy. Soc. Interface. 2016; 13(119): 20160073. https://doi.org/10.1098/rsif.2016.0073AlastrueyJXiaoNFokHSchaeffterTFigueroaCAOn the impact of modelling assumptions in multi-scale, subject-specific models of aortic haemodynamics20161311920160073. https://doi.org/10.1098/rsif.2016.007310.1098/rsif.2016.0073493807927307511Search in Google Scholar
Visser KR. Electric properties of flowing blood and impedance cardiography. Ann. Biomed. Eng. 1989; 17: 463–473. https://doi.org/10.1007/bf02368066VisserKRElectric properties of flowing blood and impedance cardiography198917463473https://doi.org/10.1007/bf0236806610.1007/BF023680662610418Search in Google Scholar
Hoetink AE, Faes TJ, Visser KR, Heethaar RM. On the flow dependency of the electrical conductivity of blood. IEEE Trans. Biomed. Eng. 2004; 51(7): 1251–1261. https://doi.org/10.1109/tbme.2004.827263HoetinkAEFaesTJVisserKRHeethaarRMOn the flow dependency of the electrical conductivity of blood200451712511261https://doi.org/10.1109/tbme.2004.82726310.1109/TBME.2004.82726315248541Search in Google Scholar
Fuji M, Nakajima K, Sakamoto K, Kanai H. Orientation and deformation of erythrocytes in flowing blood. Annals of the New York Academy of Sciences. 1999; 873(1): 245–61. https://doi.org/10.1111/j.1749-6632.1999.tb09473.xFujiMNakajimaKSakamotoKKanaiHOrientation and deformation of erythrocytes in flowing blood1999873124561https://doi.org/10.1111/j.1749-6632.1999.tb09473.x10.1111/j.1749-6632.1999.tb09473.x10372174Search in Google Scholar
Gaw RL, Cornish BH, Thomas BJ. The electrical impedance of pulsatile blood flowing through rigid tubes: an experimental investigation. 13th International Conference on Electrical Bioimpedance and the 8th Conference on Electrical Impedance Tomography. 2007; pp. 73–76. https://doi.org/10.1007/978-3-540-73841-1_22GawRLCornishBHThomasBJ13th International Conference on Electrical Bioimpedance and the 8th Conference on Electrical Impedance Tomography20077376https://doi.org/10.1007/978-3-540-73841-1_2210.1007/978-3-540-73841-1_22Search in Google Scholar
Gaw RL, Cornish BH, Thomas BJ. The electrical impedance of pulsatile blood flowing through rigid tubes: A theoretical investigation. IEEE Transaction on Biomedical Engineering. 2008; 55(2): 721–727. https://doi.org/10.1109/tbme.2007.903531GawRLCornishBHThomasBJThe electrical impedance of pulsatile blood flowing through rigid tubes: A theoretical investigation2008552721727https://doi.org/10.1109/tbme.2007.90353110.1109/TBME.2007.90353118270009Search in Google Scholar
COMSOL Multiphysics. v. 5.3. COMSOL AB, Stockholm, Sweden.v. 5.3. COMSOL AB, Stockholm, Sweden.Search in Google Scholar
Mansouri S, Alhadidi T, Chabchoub S, Salah RB. Impedance cardiography: Recent applications and developments. Biomedical Research. 2018; 29 (19): 3542–3552. https://doi.org/10.4066/biomedicalresearch.29-17-3479MansouriSAlhadidiTChabchoubSSalahRBImpedance cardiography: Recent applications and developments2018291935423552https://doi.org/10.4066/biomedicalresearch.29-17-347910.4066/biomedicalresearch.29-17-3479Search in Google Scholar
Gabriel S. The dielectric properties of biological tissues. Physics in Medicine and Biology. 1996; 41: 2231–2249.GabrielSThe dielectric properties of biological tissues1996412231224910.1088/0031-9155/41/11/0018938024Search in Google Scholar
Chen D, Müller-Eschner M, von Tengg-Kobligk H, Barber D, Böckler D, Hose R, Ventikos Y. A patient-specific study of Type-B aortic dissection: evaluation of true-false lumen blood exchange. BioMedical Engineering OnLine. 2012; 12: 65. https://doi.org/10.1186/1475-925x-12-65ChenDMüller-EschnerMvon Tengg-KobligkHBarberDBöcklerDHoseRVentikosYA patient-specific study of Type-B aortic dissection: evaluation of true-false lumen blood exchange20121265https://doi.org/10.1186/1475-925x-12-6510.1186/1475-925X-12-65373400723829346Search in Google Scholar
Cheng Z, Tan FP, Riga CV, Bicknell CD, Hamady MS, Gibbs RG, Wood NB, Xu XY. Analysis of flow patterns in a patient-specific aortic dissection model. Journal of Biomechanical Engineering. 2010; 132(5), 051007. https://doi.org/10.1115/1.4000964ChengZTanFPRigaCVBicknellCDHamadyMSGibbsRGWoodNBXuXYAnalysis of flow patterns in a patient-specific aortic dissection model20101325051007. https://doi.org/10.1115/1.400096410.1115/1.400096420459208Search in Google Scholar
Sobol’ IM. Sensitivity estimates for nonlinear mathematical models. Math Modeling Comput Exp. 1993; 1: 407–14.Sobol’IMSensitivity estimates for nonlinear mathematical models1993140714Search in Google Scholar
Saltelli A. et al. Global sensitivity analysis: the primer. John Wiley & Sons. 2008.SaltelliA.John Wiley & Sons200810.1002/9780470725184Search in Google Scholar
Sudret B. Global sensitivity analysis using polynomial chaos expansions. Reliability Engineering & System Safety. 2008; 93(7): 964–979. https://doi.org/10.1016/j.ress.2007.04.002SudretBGlobal sensitivity analysis using polynomial chaos expansions2008937964979https://doi.org/10.1016/j.ress.2007.04.00210.1016/j.ress.2007.04.002Search in Google Scholar
Crestaux T, Maître OL, Martinez J-M. Polynomial chaos expansion for sensitivity analysis. Reliability Engineering & System Safety. 2009; 94.7: 1161–1172. https://doi.org/10.1016/j.ress.2008.10.008CrestauxTMaîtreOLMartinezJ-MPolynomial chaos expansion for sensitivity analysis200994711611172https://doi.org/10.1016/j.ress.2008.10.00810.1016/j.ress.2008.10.008Search in Google Scholar
Xiu D, Karniadakis GE. The Wiener – Askey polynomial chaos for stochastic differential equations. SIAM Journal on Scientific Computing. 2002; 24.2: 619–644. https://doi.org/10.1137/s1064827501387826XiuDKarniadakisGEThe Wiener – Askey polynomial chaos for stochastic differential equations2002242619644https://doi.org/10.1137/s106482750138782610.21236/ADA460654Search in Google Scholar
Alexanderian A, Gremaud PA, Smith RC. Variance-based sensitivity analysis for time-dependent processes. Reliability Engineering & System Safety. 2019; 106722. https://doi.org/10.1016/j.ress.2019.106722AlexanderianAGremaudPASmithRCVariance-based sensitivity analysis for time-dependent processes2019106722https://doi.org/10.1016/j.ress.2019.10672210.1016/j.ress.2019.106722Search in Google Scholar
Marelli S, Lamas C, Sudret B. UQLab user manual - Sensitivity analysis. Report UQLab-V1.3–106, Chair of Risk, Safety & Uncertainty Quantification, ETH Zurich. 2019. https://doi.org/10.1061/9780784413609.257MarelliSLamasCSudretBReport UQLab-V1.3–106, Chair of Risk,Safety & Uncertainty Quantification, ETH Zurich2019https://doi.org/10.1061/9780784413609.25710.1061/9780784413609.257Search in Google Scholar
Marelli S, Sudret B. UQLab user manual - Polynomial Chaos Expansions. Report UQLab-V1.3–104, Chair of Risk, Safety & Uncertainty Quantification, ETH Zurich. 2019. https://doi.org/10.1061/9780784413609.257MarelliSSudretBReport UQLab-V1.3–104, Chair of Risk,Safety & Uncertainty Quantification, ETH Zurich2019https://doi.org/10.1061/9780784413609.25710.1061/9780784413609.257Search in Google Scholar
Wolak A, et al. Aortic size assessment by noncontrast cardiac computed tomography: normal limits by age, gender, and body surface area. JACC: Cardiovascular Imaging. 2008; 1(2): 200–209. https://doi.org/10.1016/j.jcmg.2007.11.005WolakAAortic size assessment by noncontrast cardiac computed tomography: normal limits by age, gender, and body surface area200812200209https://doi.org/10.1016/j.jcmg.2007.11.00510.1016/j.jcmg.2007.11.00519356429Search in Google Scholar
Bernstein DP, Lemmens HJM. Stroke volume equation for impedance cardiography. Medical & Biological Engineering & Computing. 2005; 43(4): 443–450.BernsteinDPLemmensHJMStroke volume equation for impedance cardiography200543444345010.1007/BF0234472416255425Search in Google Scholar