Computational Physiology : : Simula Summer School 2021 Student Reports.
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Superior document: | Simula SpringerBriefs on Computing Series ; v.12 |
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Place / Publishing House: | Cham : : Springer International Publishing AG,, 2022. Ã2022. |
Year of Publication: | 2022 |
Edition: | 1st ed. |
Language: | English |
Series: | Simula SpringerBriefs on Computing Series
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Online Access: | |
Physical Description: | 1 online resource (117 pages) |
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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
- 8.2.2 Preprocessing
- 8.2.2.1 Noise
- 8.2.2.2 Normalizing
- 8.2.2.3 Subtract drug signals from control signals
- 8.2.2.4 Vt and Ca2+ concatenation
- 8.2.3 Multi-label classification methods
- 8.2.3.1 Binary relevance
- 8.2.3.2 Classifier chains
- 8.2.3.3 Label Powerset
- 8.2.4 Model architectures
- 8.2.4.1 Gaussian Naive Bayes
- 8.2.4.2 Support Vector Classifier
- 8.2.4.3 XGBoost
- 8.2.4.4 Feed Forward Neural Network
- 8.2.4.5 Convolutional Neural Network
- 8.2.4.6 Recurrent Neural Network
- 8.2.5 Model selection and hyperparameter tuning
- 8.2.6 Scoring and metrics
- 8.2.6.1 Accuracy
- 8.2.6.2 Recall and precision
- 8.2.7 Explainable AI
- 8.2.7.1 LIME (Local Interpretable Model-Agnostic Explanations)
- 8.3 Results
- 8.4 Discussion
- 8.5 Conclusion
- References.