Low-complexity detection of atrial fibrillation in continuous long-term monitoring.

Summary, in English

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.

• Author: Andrius Petrėnas; Vaidotas Marozas; Leif Sörnmo
• Department/s: Department of Biomedical Engineering
• Publishing year: 2015
• Language: English
• Pages: 184-191
• Publication/Series: Computers in Biology and Medicine
• Volume: 65
• Issue: Online 28 January 2015
• Links: http://dx.doi.org/10.1016/j.compbiomed.2015.01.019
• Document type: Journal article
• Publisher: Elsevier
• Topic: Medical Engineering
• Status: Published
• ISBN/ISSN/Other: ISSN: 1879-0534