Print Email Facebook Twitter Array Processing in Atrial Fibrillation Title Array Processing in Atrial Fibrillation: Application of different signal models and LAT estimation techniques Author Rodewijk, Koen (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Signal Processing Systems) Contributor Hendriks, R.C. (mentor) Mastrangeli, Massimo (graduation committee) Varon, Carolina (graduation committee) Degree granting institution Delft University of Technology Programme Electrical Engineering | Signals and Systems Date 2023-03-30 Abstract Atrial fibrillation (AF) is the most commonly occurring arrhythmia in clinical practice and can have a significant impact on the current and future wellbeing of the patient. By placing an unipolar sensor array directly on the epicardium during an open-heart surgery to measure the electrical activity of the atrium, more insight about this disease can be obtained. One method to obtain these insights is by applying common signal processing models to the measured electrogram (EGM). This thesis further investigates this application and argues why the most common array processing signal models are fundamentally incompatible with this application and proposes two different signal models to rectify the identified discrepancies. The proposed signal models are subsequently analyzed and the conclusion is drawn that both novel signal models better fit the EGM signals, but one signal model in particular shows promising results. This potential is exemplified by using this signal model to formulate a novel LAT estimation technique that can compete with state of the art LAT estimation methods in terms of estimation accuracy and execution time. This result shows the potential of the proposed signal model and opens the door to explore more applications in the future. Subject atrial fibrillationarray processingESPRITelectrogramEGMsignal processingLAT estimation To reference this document use: http://resolver.tudelft.nl/uuid:82dd26ec-d49b-4780-8b14-7ce2960c1b1b Part of collection Student theses Document type master thesis Rights © 2023 Koen Rodewijk Files PDF Array_Processing_in_AF_MS ... dewijk.pdf 5.28 MB Close viewer /islandora/object/uuid:82dd26ec-d49b-4780-8b14-7ce2960c1b1b/datastream/OBJ/view