Title:	Diagnostic Biomarkers in Atrial Fibrillation – Autonomic Nervous System Induced Modulation as a Sign of Disease Progression
DNr:	SNIC 2021/22-511
Project Type:	SNIC Small Compute
Principal Investigator:	Felix Plappert <felix.plappert@bme.lth.se>
Affiliation:	Lunds universitet
Duration:	2021-08-02 – 2022-09-01
Classification:	20699
Keywords:

Abstract

The atrioventricular node (AVN) in the heart is essential for the endogeneous management of atrial fibrillation which is a cardiac arrhythmia. The dual-pathway physiology of the AVN reduces the high rate of uncoordinated atrial impulses and influences the variability and irregularity of the output series. Although the potential of the AVN for better symptom control has been identified, the causality between changes in electrophysiology and resulting changes in the output characteristics remains poorly understood. To investigate this relationship between AVN model parameters and RR series characteristics during rate control, we use a network AVN model and compared the results to clinical findings. We require computational resources for the simulation of the AVN model.