A5035324963- Cardiac electrophysiology and arrhythmias
- Cardiovascular Function and Risk Factors
- ECG Monitoring and Analysis
- Cardiac Arrhythmias and Treatments
- Cardiac pacing and defibrillation studies
- Advanced MRI Techniques and Applications
- Elasticity and Material Modeling
- Advanced Numerical Methods in Computational Mathematics
- Cardiac Valve Diseases and Treatments
- Ion Channels and Receptors
- Analog and Mixed-Signal Circuit Design
- Microfluidic and Capillary Electrophoresis Applications
- Cardiomyopathy and Myosin Studies
- Neurobiology and Insect Physiology Research
- Cardiac Imaging and Diagnostics
- Ion channel regulation and function
- Electrochemical Analysis and Applications
- Lipid Membrane Structure and Behavior
- Advanced Chemical Sensor Technologies
- Medical Imaging Techniques and Applications
- Biomedical and Engineering Education
- Numerical methods in engineering
- Atrial Fibrillation Management and Outcomes
- Fuel Cells and Related Materials
- Cancer Risks and Factors
Medical University of Graz
2017-2025
BioTechMed-Graz
2023
Medical University of Vienna
2023
University of Graz
2022
King's College London
2022
Electrophysiology and Heart Modeling Institute
2022
Newcastle University
2022
Nawi Graz
2022
Graz University of Technology
2014-2017
University of Zurich
2016
Cardiac digital twins (Cardiac Digital Twin (CDT)s) of human electrophysiology (Electrophysiology (EP)) are replicas patient hearts derived from clinical data that match like-for-like all available observations. Due to their inherent predictive potential, CDTs show high promise as a complementary modality aiding in decision making and also the cost-effective, safe ethical testing novel EP device therapies. However, current workflows for both anatomical functional twinning phases within CDT...
Computational models of the heart are increasingly being used in development devices, patient diagnosis and therapy guidance. While software techniques have been developed for simulating single hearts, there remain significant challenges cohorts virtual hearts from multiple patients. To facilitate new simulation model analysis by groups without direct access to medical data, image meshing tools, we created first publicly available cohort twenty-four four-chamber hearts. Our was built failure...
The pericardium affects cardiac motion by limiting epicardial displacement normal to the surface. In computational studies, it is important for model replicate realistic motion, as this physiological fidelity of model. Previous studies showed that accounting effect allows a more simulation. study, we describe mechanism through which causes improved motion. We simulated electrical activation and contraction ventricles on four-chamber heart in presence absence pericardium. mechanical...
Cardiac pump function arises from a series of highly orchestrated events across multiple scales. Computational electromechanics can encode these in physics-constrained models. However, the large number parameters models has made systematic study link between cellular, tissue, and organ scale to whole heart physiology challenging. A patient-specific anatomical model, or digital twin, was created. Cellular ionic dynamics contraction were simulated with Courtemanche-Land ToR-ORd-Land for atria...
Computer models of cardiac electro-mechanics (EM) show promise as an effective means for the quantitative analysis clinical data and, potentially, predicting therapeutic responses. To realize such advanced applications methodological key challenges must be addressed. Enhanced computational efficiency and robustness is crucial to facilitate, within tractable time frames, model personalization, simulation prolonged observation periods under a broad range conditions, physiological completeness...
Abstract Personalized models of cardiac electrophysiology (EP) that match clinical observation with high fidelity, referred to as digital twins (CDTs), show promise a tool for tailoring precision therapies. Building CDTs EP relies on the ability replicate ventricular activation sequence under broad range conditions. Of pivotal importance is His–Purkinje system (HPS) within ventricles. Workflows generation and incorporation HPS are needed use in twinning pipelines aim minimize misfit between...
Personalised computer models of cardiac function, referred to as digital twins, are envisioned play an important role in clinical precision therapies cardiovascular diseases. A major obstacle hampering translation involves the significant computational costs involved personalisation biophysically detailed mechanistic that require identification high-dimensional parameter vectors. An aspect identify electromechanics (EM) active mechanics parameters govern contraction and relaxation. In this...
Image-based computational models of the heart represent a powerful tool to shed new light on mechanisms underlying physiological and pathological conditions in cardiac function improve diagnosis therapy planning. However, order enable clinical translation such models, it is crucial develop personalized that are able reproduce reality given patient. There have been numerous contributions experimental biomechanics characterize passive behavior myocardium. most these studies suffer from severe...
Mechanistic cardiac electrophysiology models allow for personalized simulations of the electrical activity in heart and ensuing electrocardiogram (ECG) on body surface. As such, synthetic signals possess known ground truth labels underlying disease can be employed validation machine learning ECG analysis tools addition to clinical signals. Recently, ECGs were used enrich sparse data or even replace them completely during training leading improved performance real-world test data. We thus...
A cardiac digital twin is a virtual replica of patient-specific heart, mimicking its anatomy and physiology. crucial step building anatomical twinning, where the computational mesh tailored to anatomy. In number studies, effect variation on clinically relevant functional measurements like electrocardiograms (ECGs) investigated, using simulations. While such simulation environment provides researchers with carefully controlled ground truth, impact differences in real-world patients remains...
Human cardiac Cardiac digital twins (CDTs) are replicas of patient hearts, designed to match clinical observations precisely. The electro-cardiogram (ECG), as the most common non-invasive electrophysiology (EP) measurement, has been recently successfully employed for calibrating CDT. However, ECG-based calibration methods often fail account inherent uncertainties in data acquisition and CDT anatomical generation workflows. As a result, discrepancies inevitably arise between actual physical...
Computational fluid dynamics (CFD) models of blood flow in the left ventricle (LV) and aorta are important tools for analyzing mechanistic links between myocardial deformation patterns. Typically, use image-based kinematic CFD prevails applications such as predicting acute response to interventions which alter LV afterload conditions. However, limited their ability analyze any impacts upon load or key biomarkers known be implicated driving remodeling processes function is not accounted a...
Computer models of left ventricular (LV) electro-mechanics (EM) show promise as a tool for assessing the impact increased afterload upon LV performance. However, identification unique model parameters and personalization EM remains challenging due to significant clinical input uncertainties. Here, we personalized virtual cohort N = 17 under pressure overload conditions. A global-local optimizer was developed uniquely identify three-element Windkessel (Wk3) model. The sensitivity Wk3...
THERE is a large amount of biological and clinical literature1 on the possible interaction progesterone vitamin E, especially in pregnancy. This problem, however, seems still far from being solved (1,2). To our knowledge, it has been dealt with by means biochemical methods only three reports. In these instances authors used determination urinary sodium pregnanediol glucuronidate (NaPG) Venning's method (3, 4). During human menstrual cycle (5) imminent abortion (6), daily doses E form...
Computer models capable of representing the intrinsic personal electrophysiology (EP) heart in silico are termed virtual technologies. When anatomy and EP tailored to individual patients within model, such technologies promising clinical industrial tools. Regardless their vast potential, few simulating entire organ-scale all four-chambers have been reported widespread use is limited due high computational costs difficulty validation. We thus report on development a novel technology aiming...
Coordination of lipids within transient receptor potential canonical channels (TRPCs) is essential for their Ca2+ signaling function. Single particle cryo-EM studies identified two lipid interaction sites, designated L1 and L2, which are proposed to accommodate diacylglycerols (DAGs). To explore the role L2 in TRPC3 function, we combined structure-guided mutagenesis electrophysiological recording with molecular dynamics (MD) simulations. MD simulations indicate rapid DAG accumulation both...
Abstract The transient receptor potential canonical type 3 (TRPC3) channel plays a pivotal role in regulating neuronal excitability the brain via its constitutive activity. is intricately regulated by lipids and has previously been demonstrated to be positively modulated PIP 2 . Using molecular dynamics simulations patch clamp techniques, we reveal that predominantly interacts with TRPC3 at L3 lipid binding site, located intersection of pre-S1 S1 helices. We demonstrate sensing involves...
Fiber-reinforced soft biological tissues are typically modeled as hyperelastic, anisotropic, and nearly incompressible materials. To enforce incompressibility a multiplicative split of the deformation gradient into volumetric an isochoric part is very common approach. However, finite element analysis such problems often suffers from severe locking effects numerical instabilities. In this paper, we present novel methods to overcome phenomena for using stabilized P1-P1 elements. We introduce...
The bidomain model and the finite element method are an established standard to mathematically describe cardiac electrophysiology, but both suboptimal choices for fast large-scale simulations due high computational costs. We investigate what extent simplified approaches propagation models (monodomain, reaction-Eikonal Eikonal) forward calculation (boundary infinite volume conductor) deliver markedly accelerated, yet physiologically accurate simulation results in atrial electrophysiology.We...
In this study, we have used whole heart simulations parameterized with large animal experiments to validate three techniques (two from the literature and one novel) for estimating epicardial volumetric conduction velocity (CV).We an eikonal-based simulation model generate ground truth activation sequences prescribed CVs. Using sampling density achieved experimentally examined accuracy which could reconstruct wavefront, then robustness of CV estimation reconstruction related error. We a...
Azobenzene-based photochromic lipids are valuable probes for the analysis of ion channel-lipid interactions. Rapid photoisomerization these molecules enables lipid gating kinetics and provides information on sensing. Thermal relaxation metastable cis conformation to trans azobenzene photolipids is rather slow in dark may be modified by ligand-protein Cis photolipid-induced changes pure membranes as visualized from morphological response giant unilamellar vesicles indicated that thermal...