Mostafa Abdollahpur will defend his thesis "ECG Signal Processing for Respiratory and Autonomic Modulation in Atrial Fibrillation and Environmental Exposure"
Monday, November 10th.
Time: 09:00.
Place: Lecture Hall E:1406.

Link to thesis in LU Research Portal

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia and is associated with increased risk of stroke, heart failure, and mortality. One of the systems which AF is influenced by is the autonomic nervous system (ANS), which regulates involuntary functions such as heart rate. Environmental stressors, such as air pollution, may also affect these physiological systems and contribute to cardiovascular morbidity. The electrocardiogram (ECG) provides a non-invasive tool to study these influences, but the irregular rhythm of AF poses challenges for conventional respiratory and autonomic analysis. The overall aim of this thesis was to develop ECG-based methods for assessing respiratory and autonomic modulation during AF, and to extend ECG analysis to explore autonomic responses to environmental stressors using different methodological approaches.  In summary, this thesis presents new methods for extracting respiratory and autonomic information from ECGs recorded under challenging conditions, including AF and environmental exposure scenarios. These tools extend the capabilities of ECG analysis, offering potential applications in clinical AF management, environmental health research, and personalized medicine.