| Title |
Atrial fibrillation episode patterns and their influence on detection performance / |
| Authors |
Butkuvienė, Monika ; Petrėnas, Andrius ; Sološenko, Andrius ; Martín-Yebra, Alba ; Marozas, Vaidotas ; Sörnmo, Leif |
| DOI |
10.23919/CinC53138.2021.9662847 |
| ISBN |
9781665467216 |
| eISBN |
9781665479165 |
| Full Text |
|
| Is Part of |
Computing in cardiology (CinC): September 12-15, 2021, Brno, Czech Republic.. Piscataway, NJ : IEEE, 2021. p. 1-4.. ISSN 2325-8861. eISSN 2325-887X. ISBN 9781665467216. eISBN 9781665479165 |
| Keywords [eng] |
sensitivity ; atrial fibrillation ; morphology ; detectors ; electrocardiography ; rhythm ; cardiology |
| Abstract [eng] |
Existing studies offer little insight on how atrial fibrillation (AF) detection performance is influenced by the properties of AF episode patterns. The aim of this study is to investigate the influence of AF burden and median AF episode length on detection performance. For this purpose, three types of AF detectors, using either information on rhythm, rhythm and morphology, or ECG segments, were investigated on 1-h simulated ECGs. Comparing AF burdens of 20% and 80% for a median episode length of 167 beats, the sensitivity of the rhythm- and morphology-based detector increases only slightly whereas the specificity drops from 99.5% to 93.3%. The corresponding figures of specificity are 99.0% and 90.6% for the rhythm-based detector; 88.1% and 70.7% for the segment-based detector. The influence of AF burden on specificity becomes even more pronounced for AF patterns with brief episodes (median episode length set to 30 beats). Therefore, patterns with briefepisodes and high AF burden imply higher demands on detection performance. Future research should focus on how well episode patterns are captured. |
| Published |
Piscataway, NJ : IEEE, 2021 |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2021 |
| CC license |
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