Atrial fibrillation (AF) is an irregular heart rhythm due to disorganized atrial electrical activity, often sustained by rotational drivers called rotors. In the present work, we sought to characterize and discriminate whether simulated single stable rotors are located in the pulmonary veins (PVs) or not, only by using non-invasive signals (i.e., the 12-lead ECG). Several features have been extracted from the signals, such as Hjort descriptors, recurrence quantification analysis (RQA), and principal component analysis. All the extracted features have shown significant discriminatory power, with particular emphasis to the RQA parameters. A decision tree classifier achieved 98.48% accuracy, 83.33% sensitivity, and 100% specificity on simulated data.Clinical Relevance - This study might guide ablation procedures, suggesting doctors to proceed directly in some patients with a pulmonary veins isolation, and avoiding the prior use of an invasive atrial mapping system.

Non-Invasive Identification of Atrial Fibrillation Driver Location Using the 12-lead ECG: Pulmonary Vein Rotors vs. other Locations / G. Luongo, L. Azzolin, M.W. Rivolta, R. Sassi, J.P. Martinez, P. Laguna, O. Dossel, A. Loewe (IEEE ENGINEERING IN MEDICINE AND BIOLOGY ... ANNUAL CONFERENCE PROCEEDINGS). - In: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)[s.l] : IEEE, 2020. - ISBN 9781728119908. - pp. 410-413 (( Intervento presentato al 42. convegno Annual International Conferences of the IEEE Engineering in Medicine and Biology Society tenutosi a Monreal nel 2020 [10.1109/EMBC44109.2020.9176135].

Non-Invasive Identification of Atrial Fibrillation Driver Location Using the 12-lead ECG: Pulmonary Vein Rotors vs. other Locations

M.W. Rivolta;R. Sassi;
2020

Abstract

Atrial fibrillation (AF) is an irregular heart rhythm due to disorganized atrial electrical activity, often sustained by rotational drivers called rotors. In the present work, we sought to characterize and discriminate whether simulated single stable rotors are located in the pulmonary veins (PVs) or not, only by using non-invasive signals (i.e., the 12-lead ECG). Several features have been extracted from the signals, such as Hjort descriptors, recurrence quantification analysis (RQA), and principal component analysis. All the extracted features have shown significant discriminatory power, with particular emphasis to the RQA parameters. A decision tree classifier achieved 98.48% accuracy, 83.33% sensitivity, and 100% specificity on simulated data.Clinical Relevance - This study might guide ablation procedures, suggesting doctors to proceed directly in some patients with a pulmonary veins isolation, and avoiding the prior use of an invasive atrial mapping system.
Electrocardiography; Humans; Treatment Outcome; Atrial Fibrillation; Catheter Ablation; Pulmonary Veins
Settore INF/01 - Informatica
Settore ING-INF/06 - Bioingegneria Elettronica e Informatica
Settore MED/40 - Ginecologia e Ostetricia
H20MCITNIF17RSASS_01 - MutlidisciplinarY training network for ATrial fibRillation monItoring, treAtment and progression - SASSI, ROBERTO - H20MCITNIF - Horizon 2020_Marie Skłodowska-Curie actions-Innovative Training Network (ITN)/Individual Fellowships (IF) - 2017
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/818485
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