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Award-Winning Master's Thesis: Zdeněk Kindl Analysed Cardiac Signals to Improve Prediction of Atrial Fibrillation Treatment Outcomes

30. 7. 2026 News
The master's thesis of Zdeněk Kindl from the Department of Cybernetics and Biomedical Engineering focuses on the analysis of intracardiac electrograms recorded before and after pulsed field ablation for atrial fibrillation. The aim was to determine whether changes in cardiac signals can be used to predict the long-term success of this modern treatment method.
Award-Winning Master's Thesis: Zdeněk Kindl Analysed Cardiac Signals to Improve Prediction of Atrial Fibrillation Treatment Outcomes

"I was surprised, but at the same time very pleased to receive the award. I saw it as recognition not only of my own work but also of the physicians I collaborated with. It wasn't just about successfully completing my thesis—it was about knowing that the work had a real purpose," says Zdeněk Kindl.
The thesis analyses intracardiac electrograms recorded before and after pulsed field ablation performed in the pulmonary veins. It focuses on identifying changes in cardiac signals that could serve as indicators of the long-term effectiveness of the treatment.

The results showed that the analysed features reflect changes in cardiac tissue. However, accurate prediction requires the analysis of four specific frequency bands identified in patients who experienced a recurrence of the condition.

"This master's thesis represents high-quality and demanding work that significantly exceeds the standard expected of a master's thesis. It fulfils all the objectives of the assignment and delivers original results with direct application potential in the field of cardiac electrophysiology," says the thesis supervisor, Jan Hečko, Ph.D.
The thesis also opens up new opportunities for further research. Combining the identified signal features with predictive models could help physicians more accurately estimate treatment outcomes and support clinical decision-making in the future.