Computational physiology : : Simula Summer School 2021 -- student reports / / editor, Kimberly J. McCabe.

• Superior document: Simula SpringerBriefs on computing v.12
• Author: Simula Summer School in Computational Physiology
• TeilnehmendeR: McCabe, Kimberly J.; Simula Summer School in Computational Physiology
• Year of Publication: 2022
• Language: English
• Series: Simula SpringerBriefs on computing 12
• Physical Description: 1 online resource (xi, 109 pages) :; illustrations (some color).
• Notes: Description based upon print version of record.

This open access volume compiles student reports from the 2021 Simula Summer School in Computational Physiology. Interested readers will find herein a number of modern approaches to modeling excitable tissue. This should provide a framework for tools available to model subcellular and tissue-level p...

Table of Contents

• Intro
• Preface
• Acknowledgements
• Contents
• Chapter 1 A Pipeline for Automated Coordinate Assignment in Anatomically Accurate Biventricular Models
• 1.1 Introduction
• 1.2 Methods
• 1.2.1 Semi-Automated Surface Extraction
• Algorithm 1
• 1.2.2 Biventricular Coordinate System
• 1.2.2.1 Creation of the Coordinate System Cobiveco
• 1.2.3 Mapping Vector Fields
• 1.3 Results
• 1.4 Conclusion
• 1.4.1 Limitations
• References
• Chapter 2 3D Simulations of Fetal and Maternal Ventricular Excitation for Investigating the Abdominal ECG
• 2.1 Introduction
• 2.2 Methods
• 2.2.1 Geometrical mesh construction
• 2.2.2 Electrophysiological modelling
• 2.2.3 Extracellular potential measurements
• 2.2.4 Fetal ECG extraction using signal processing methods
• 2.3 Results
• 2.4 Discussion
• 2.5 Conclusions
• References
• Chapter 3 Ordinary Differential Equation-based Modeling of Cells in Human Cartilage
• 3.1 Introduction
• 3.2 Methods
• 3.2.1 Mathematical modelling of ATP-sensitive K+ currents
• 3.2.2 Population of Models
• 3.3 Results
• 3.3.1 Validation
• 3.3.2 Results for the ATP-sensitive K+ currents
• 3.3.3 Populations of Models
• 3.4 Discussion and Conclusion
• References
• Chapter 4 Conduction Velocity in Cardiac Tissue as Function of Ion Channel Conductance and Distribution
• 4.1 Introduction
• 4.2 Models and methods
• 4.2.1 The monodomain model
• 4.2.2 The EMI model
• 4.3 Results
• 4.4 Discussion
• 4.4.1 Influence of ion channel conductance on CV
• 4.4.2 Influence of ion channel distribution
• 4.5 Conclusions
• References
• Chapter 5 Computational Prediction of Cardiac Electropharmacology - How Much Does the Model Matter?
• 5.1 Introduction
• 5.2 Methods
• 5.2.1 Models of Cardiac Electrophysiology
• 5.2.2 Feature Extraction
• 5.2.3 Sensitivity Analysis and Translation
• 5.3 Results
• 5.3.1 Model Translation
• 5.3.2 Translation Discrepancies
• 5.4 Discussion
• 5.5 Conclusion
• References
• Chapter 6 A Computational Study of Flow Instabilities in Aneurysms
• 6.1 Introduction
• 6.2 Methods
• 6.2.1 Baseflow equations
• 6.2.2 Flow perturbations and instability
• 6.2.3 Discretization
• 6.2.4 Computational Methodology
• 6.3 Results
• 6.4 Discussion
• References
• Chapter 7 Investigating the Multiscale Impact of Deoxyadenosine Triphosphate (dATP) on Pulmonary Arterial Hypertension (PAH) Induced Heart Failure
• 7.1 Introduction
• 7.2 Methods
• 7.2.1 Cell Level Changes
• 7.2.1.1 The SERCA Pump and Calcium transients
• 7.2.1.2 Cross-bridge cycling kinetics
• 7.2.2 Organ Level Model
• 7.3 Results
• 7.4 Discussion and Conclusion
• 7.5 Acknowledgements
• 7.6 Supplementary Information
• References
• Chapter 8 Identifying Ionic Channel Block in a Virtual Cardiomyocyte Population Using Machine Learning Classifiers
• 8.1 Introduction
• 8.2 Methods
• 8.2.1 Data