Date: Tuesday 2024-11-12
Time: 13:00
Place: Lecture Hall E:1406.

Link to thesis:
https://portal.research.lu.se/sv/publications/model-based-analysis-of-individual-atrioventricular-node-conduct

Atrial fibrillation (AF) is the most common arrhythmia in the world, leading to a significant burden to patients and the healthcare system. It is characterised by rapid and irregular atrial contractions stemming from disorganised electrical activity in the atria. The atrioventricular (AV) node regulates heart rate during AF by filtering electrical impulses from the atria.

However, for persistent AF, the regulating capabilities of the AV node are often insufficient in regards to maintaining a healthy heart rate. Thus, rate control drugs affecting the conduction properties of the AV node are the most common treatment, chosen empirically for each patient. This takes time and may result in a sub-optimal drug choice. Quantifying individual differences in AV-nodal function is therefore interesting in order to potentially aid in personalised treatment selection. Software solutions presented offers a more fine-tuned assessment of the fibrillation events, with potential future clinical applications.