Structural identifiability analysis of a cardiovascular system model

• Published in: Medical engineering & physics Vol. 38; no. 5; pp. 433 - 441
• Main Authors: Pironet, Antoine, Dauby, Pierre C, Chase, J. Geoffrey, Docherty, Paul D, Revie, James A, Desaive, Thomas
• Format: Journal Article Web Resource
• Language: English
• Published: England Elsevier Ltd 01.05.2016; Elsevier
• Subjects: Algorithms; Blood Pressure; Blood Volume; Cardiovascular & respiratory systems; Cardiovascular Physiological Phenomena; Cardiovascular system; Cardiovascular System - anatomy & histology; Cases (containers); Engineering, computing & technology; Human health sciences; Identifiability; Ingénierie, informatique & technologie; Lumped-parameter model; Mathematical analysis; Mathematical models; Models, Cardiovascular; Parameter identification; Parameters; Physiological model; Radiology; Sciences de la santé humaine; Simplification; Systèmes cardiovasculaire & respiratoire; Valves; CVS; Identifiability; cardiovascular system; Lumped-parameter model; Parameter identification; Physiological model
• ISSN: 1350-4533; 1873-4030; 1873-4030
• DOI: 10.1016/j.medengphy.2016.02.005

Highlights • We show that lumped-parameter models of the cardiovascular system have non-identifiability issues. • We present a clinically available output set and demonstrate that the cardiovascular system model of interest is identifiable from this output set. • We show that with a supplementary assumption, this output set can be further reduced. • This analysis implies that the parameter identification procedure can theoretically be performed. • Thus, the model may be considered suitable for use in diagnosis.