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Computational Physiology

Simula Summer School 2021 - Student Reports
BuchKartoniert, Paperback
109 Seiten
Englisch
Springererschienen am09.05.20221st ed. 2022
The fields represented include cardiac geometry definition (Chapter 1), electrophysiology and pharmacology (Chapters 2-5), fluid mechanics in blood vessels (Chapter 6), cardiac calcium handling and mechanics (Chapter 7), and machine learning in cardiac electrophysiology (Chapter 8).mehr

Produkt

KlappentextThe fields represented include cardiac geometry definition (Chapter 1), electrophysiology and pharmacology (Chapters 2-5), fluid mechanics in blood vessels (Chapter 6), cardiac calcium handling and mechanics (Chapter 7), and machine learning in cardiac electrophysiology (Chapter 8).
Zusammenfassung
This book is open access, which means that you have free and unlimited access

Research case studies in computational physiology

A variety of numerical tools for simulating biological systems

Demonstrated tools and methods for modeling excitable tissue
Details
ISBN/GTIN978-3-031-05163-0
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2022
Erscheinungsdatum09.05.2022
Auflage1st ed. 2022
Seiten109 Seiten
SpracheEnglisch
IllustrationenXI, 109 p. 47 illus., 45 illus. in color.
Artikel-Nr.16531222

Inhalt/Kritik

Inhaltsverzeichnis
A Pipeline for Automated Coordinate Assignment in Anatomically Accurate Biventricular Models 3D Simulations of Fetal and Maternal Ventricular Excitation for Investigating the Abdominal ECG.- Ordinary Differential Equation-based Modeling of Cells in Human Cartilage.- Conduction Velocity in Cardiac Tissue as Function of Ion Channel Conductance and Distribution.- Computational Prediction of Cardiac Electropharmacology - How Much Does the Model Matter?.- A Computational Study of Flow Instabilities in Aneurysms.- Investigating the Multiscale Impact of Deoxyadenosine Triphosphate (dATP) on Pulmonary Arterial Hypertension (PAH) Induced Heart Failure.- Identifying Ionic Channel Block in a Virtual Cardiomyocyte Population Using Machine Learning Classifiers.mehr

Schlagworte