Dissertations at the Institute for Biomedical Technology
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2022 |
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| Jorge Sanchez Arciniegas | A Multiscale in Silico Study to Characterize the Atrial Electrical Activity of Patients with Atrial Fibrillation : A Translational Study to Guide Ablation Therapy DOI: 10.5445/KSP/1000143481 |
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2021 |
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| Ekaterina Kovacheva | Model Based Estimation of the Elastomechanical Properties of the Human Heart. |
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2020 |
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| Nicolas Pilia | Electrocardiogram Signal Analysis and Simulations for Non-Invasive Diagnosis. |
| Yannik Lutz | Modelling of the human brain to predict spatial and temporal temperature profiles for the selective hypothermia treatment of an ischemic stroke DOI: 10.5445/IR/1000122124 |
| Michael Kircher | Towards an Efficient Gas Exchange Monitoring with Electrical Impedance Tomography - Optimization and validation of methods to investigate and understand pulmonary blood flow with indicator dilution. DOI: 10.5445/IR/1000128682 |
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2019 |
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| Stefan Pollnow | Characterizing Cardiac Electrophysiology during Radiofrequency Ablation: An Integrative Ex vivo, In silico, and In vivo Approach. DOI: 10.5445/KSP/1000089807 |
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2017 |
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| Bhawna Verma | Multichannel Intracardiac Electrogram Analysis to Estimate the Depolarisation Wavefront Propagation: Supporting Diagnostics and Treatment of Atrial Fibrillation. DOI: 10.5445/IR/1000071598 |
| Gustavo Lenis | Signal Processing Methods for the Analysis of the Electrocardiogram DOI: 10.5445/IR/1000069601 |
| Markus Rottmann | Multiple interacting rotational, focal, and wavelet activities at heterogeneous tissue in atrial fibrillation. DOI: 10.5445/IR/1000086187 |
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2016 |
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| Jochen Schmid | Microwave Imaging for Stroke Diagnostics. DOI: 10.5445/IR/1000062640 |
| Danila Potyagaylo | Non-Invasive Electrocardiographic Imaging of Ventricular Activities: Data-Driven and Model-Based Approaches. DOI: 10.5445/IR/1000058533 |
| Tobias Oesterlein | Multichannel Analysis of Intracardiac Electrograms. Supporting Diagnosis and Treatment of Cardiac Arrhythmias. DOI: 10.5445/IR/1000063235 |
| Axel Loewe | Modeling human atrial patho-electrophysiology from ion channels to ECG: substrates, pharmacology, vulnerability, and P-waves. DOI: 10.5445/KSP/1000054615 |
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2015 |
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| Thomas Fritz | Biomechanical Modeling of the Human Heart - Modeling of the Ventricles, the Atria and the Pericardium and the Inverse Problem of Cardiac Mechanics DOI: 10.5445/IR/1000051420 |
| Walther Schulze | ECG Imaging of Ventricular Activity in Clinical Applications DOI: 10.5445/KSP/1000046918 |