|Computer Model of a personalized heart|
In cooperation with the IANM (KIT) and the IEKM (University Heart Center Freiburg), researchers at IBT proposed an electro-mechanically coupled computer model of a personalized human heart. The manuscript was published in the Journal Mathematics.More
|Transit Time Measurement in Indicator Dilution Curves|
|Number of cameras for the 3D reconstruction|
|EHRA Congress 2021|
A scientist of the IBT presented and discussed their research titled: “Spatial and Quantitative Assessment of the Correlation between Sinus Rhythm and Atrial Fibrillation Voltage Mapping to Identify Low Voltage Substrate in Persistent Atrial Fibrillation“ at this years EHRA congress. The congress was held online from the 23-25th of April, with this years' scientific program emphasising “Making connections to overcome arrhythmia”.
|Estimation of Atrial Fibrosis with the ECG|
Researchers at IBT investigated whether the amount of diseased fibrotic tissue in the atria can be estimated non-invasively and quantitatively with features extracted from P waves of the 12-lead ECG.
|Girls’ Day 2021|
Der Workshop des IBT im Rahmen des Girls‘ Day 2021 traf auf großes Interesse des weiblichen Nachwuchses in den Bereichen Medizin und Technik.More
|Simon Hoffmann will be research assistant at IBT|
We welcome Mr. Simon Hoffmann as a research assistant. His work will focus on data processing in ophthalmology.More
|New research assistant at IBT|
Since April 1st, 2021 Dr. Marie Houillon is new research assistant in the computational cardiac modeling group at IBT.More
|Non invasive prediction of atrial fibrillation driver location|
IBT researcher Giorgio Luongo and colleagues presented a machine learning-based classification of 12-lead ECG to discriminate between patients with pulmonary vein drivers vs. those with extra-pulmonary vein drivers of atrial fibrillation.
|Protocol to Assess Arrhythmia Vulnerability|
Researchers at IBT showed the influence of the chosen protocol to induce arrhythmia on the assessment of atrial fibrillation vulnerability.More
|Computational hearts for success of therapy|
KIT's Institute of Biomedical Engineering develops, based on mathematical equations, a computational heart model to enable targeted therapy of cardiac arrhythmias. The model supports medical research and development in the fields of diagnostic and therapeutic approaches.More
|Estimating Cardiac Active Tension from Wall Motion - An Inverse Problem of Cardiac Biomechanics|
IBT researches have published a paper, which presents a model-based method for solving an inverse problem of the heart biomechanics.More
|Cycle Length Statistics during ongoing Atrial Fibrillation Yield Refractory Measure|
Researchers at IBT showed that the statistical analysis of cycle lengths during atrial fibrillation allows to estimate refractory periods of the underlying substrate. The study combines a broad set of simulations with clinical acquisitions and was published in Europace EP.More
|Graduation Nicolas Pilia|
Nicolas Pilia defended his dissertation „Electrocardiogram Signal Analysis and Simulations for Non-Invasive Diagnosis - Model-Based and Data-Driven Approaches for the Estimation of Ionic Concentrations and Localization of Excitation Origins“ on February 18th 2021 and graduated with distinction. Congratulations!
|Whitepaper on sustainable development of research software in Germany|