Author, Institution: Vilma Pluščiauskaitė, Kaunas University of Technology
Science area, field of science: Technological Sciences, Electrical and Electronics Engineering, T001
Research Supervisors: Dr. Andrius Petrėnas (Kaunas University of Technology, Electrical and Electronics Engineering, T001) – 2023 – 2024.
Dr. Andrius Rapalis (Kaunas University of Technology, Electrical and Electronics Engineering, T001) – 2020 – 2023.
Dissertation Defence Board of Electrical and Electronic Engineering Science Field:
Prof. Dr. Elena Jasiūnienė (Kaunas University of Technology, Technological Sciences, Electrical and Electronics Engineering, T001) – chairperson
Dr. Vytautas Juknevičius (Vilnius University, Medical and Health Sciences, Medicine, M001)
Senior Researcher Dr. Alba Martin-Yebra (University of Zaragoza, Spain, Technological Sciences, Electrical and Electronics Engineering, T001)
Senior Researcher Dr. Vykintas Samaitis (Kaunas University of Technology, Technological Sciences, Electrical and Electronics Engineering, T001)
Prof. Dr. Algimantas Valinevičius (Kaunas University of Technology, Technological Sciences, Electrical and Electronics Engineering, T001)
Dissertation defense meeting will be at Rectorate Hall of Kaunas University of Technology (K. Donelaičio 73-402, Kaunas)
The doctoral dissertation is available at the library of Kaunas University of Technology (Gedimino 50, Kaunas) and on the internet: V. Pluščiauskaitė el. dissertation (PDF)
Annotation: Atrial fibrillation (AF) is the most common cardiac arrhythmia, affecting over 50 million people worldwide, with its true prevalence likely being higher due to asymptomatic cases. AF places a significant burden on healthcare systems due to complications such as stroke and heart failure. Early detection is crucial but remains challenging, and current treatments primarily rely on anticoagulants and antiarrhythmic drugs, which are associated with significant side effects. Recent research highlights the role of modifiable AF triggers—acute exposures that contribute to the short-term occurrence of AF episodes (e.g., alcohol, physical exertion, stress). Identifying and managing triggers, such as alcohol consumption, physical exertion, and psychological stress, can empower patients to modify their lifestyles and align with personalized AF management strategies. This doctoral thesis addresses the clinically relevant scientific-technological challenges of detecting suspected AF triggers in physiological signals and identifying their relation to AF episode occurrence on an individual level. For trigger detection, ECG and acceleration signals have been used to compute time-varying parameters, with distinct thresholds for specific trigger identification. A quantitative approach has been proposed to assess the relational strength between suspected AF triggers and AF episode occurrence, relying on the pre- and post-trigger AF burden, defined as the percentage of time spent in AF during the monitored period. Additionally, a model for simulating trigger-affected AF episode occurrence has been developed to evaluate the proposed relation assessment methods.
April 11 d. 10:00
Rectorate Hall at Kaunas University of Technology (K. Donelaičio 73-402, Kaunas)
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