title: Low-complexity detection of atrial fibrillation in continuous long-term monitoring.
abstract: This study describes an atrial fibrillation (AF) detector whose structure is well-adapted both for detection of subclinical AF episodes and for implementation in a battery-powered device for use in continuous long-term monitoring applications. A key aspect for achieving these two properties is the use of an 8-beat sliding window, which thus is much shorter than the 128-beat window used in most existing AF detectors. The building blocks of the proposed detector include ectopic beat filtering, bigeminal suppression, characterization of RR interval irregularity, and signal fusion. With one design parameter, the performance can be tuned to put more emphasis on avoiding false alarms due to non-AF arrhythmias or more emphasis on detecting brief AF episodes. Despite its very simple structure, the results show that the detector performs better on the MIT-BIH Atrial Fibrillation database than do existing detectors, with high sensitivity and specificity (97.1% and 98.3%, respectively). The detector can be implemented with just a few arithmetical operations and does not require a large memory buffer thanks to the short window.
authors: Biomedical Engineering Institute, Kaunas University of Technology, K. Barsausko st. 59, LT-51423 Kaunas, Lithuania. Electronic address: andrius.petrenas@ktu.lt.
authors: Andrius
authors: A
authors: Petrėnas
authors: Biomedical Engineering Institute, Kaunas University of Technology, K. Barsausko st. 59, LT-51423 Kaunas, Lithuania; Faculty of Electrical and Electronics Engineering, Kaunas University of Technology, Kaunas, Lithuania.
authors: Vaidotas
authors: V
authors: Marozas
authors: Department of Biomedical Engineering and Center of Integrative Electrocardiology, Lund University, Lund, Sweden.
authors: Leif
authors: L
authors: Sörnmo
mesh_terms: D001281:Atrial Fibrillation / Q000503:physiopathology*; D016208:Databases, Factual; D005260:Female; D006801:Humans; D008297:Male; D008955:Models, Cardiovascular; D008991:Monitoring, Physiologic
keywords: Atrial fibrillation; Brief episodes; Continuous ambulatory monitoring; Low-complexity detection; RR-based detection