Corrigendum: Determination of aortic characteristic impedance and total arterial compliance from regional pulse wave velocities using machine learning: an <i>in silico</i> study.

Bikia, Vasiliki; Rovas, Georgios; Pagoulatou, Stamatia; Stergiopulos, Nikolaos

Corrigendum: Determination of aortic characteristic impedance and total arterial compliance from regional pulse wave velocities using machine learning: an in silico study.

Bikia, Vasiliki; Rovas, Georgios; Pagoulatou, Stamatia; Stergiopulos, Nikolaos.

Afiliação

Bikia V; Laboratory of Hemodynamics and Cardiovascular Technology, Institute of Bioengineering, Swiss Federal Institute of Technology, Lausanne, Switzerland.
Rovas G; Laboratory of Hemodynamics and Cardiovascular Technology, Institute of Bioengineering, Swiss Federal Institute of Technology, Lausanne, Switzerland.
Pagoulatou S; Laboratory of Hemodynamics and Cardiovascular Technology, Institute of Bioengineering, Swiss Federal Institute of Technology, Lausanne, Switzerland.
Stergiopulos N; Laboratory of Hemodynamics and Cardiovascular Technology, Institute of Bioengineering, Swiss Federal Institute of Technology, Lausanne, Switzerland.

Front Bioeng Biotechnol ; 12: 1345502, 2024.

Article em En | MEDLINE | ID: mdl-38524194