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Automatic Detection of Congestive Heart Failure and Atrial Fibrillation with Short RR Interval Time Series

Authors
Yoon, Kwon-HaNam, YunyoungThap, TharoeunJeong, ChangwonKim, Nam HoKo, Joem SeokNoh, Se-EungLee, Jinseok
Issue Date
Jan-2017
Publisher
대한전기학회
Keywords
Congestive heart failure; Atrial fibrillation; Normal sinus rhythm; Electrocardiogram; RR interval; RMSSD; Sample entropy; Shannon entropy
Citation
Journal of Electrical Engineering & Technology, v.12, no.1, pp 346 - 355
Pages
10
Journal Title
Journal of Electrical Engineering & Technology
Volume
12
Number
1
Start Page
346
End Page
355
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/7931
DOI
10.5370/JEET.2017.12.1.346
ISSN
1975-0102
2093-7423
Abstract
Atrial fibrillation (AF) and Congestive heart failure (CHF) are increasingly widespread, costly, deadly diseases and are associated with significant morbidity and mortality. In this study, we analyzed three statistical methods for automatic detection of AF and CHF based on the randomness, variability and complexity of the heart beat interval, which is RRI time series. Specifically, we used short RRI time series with 16 beats and employed the normalized root mean square of successive RR differences (RMSSD), the sample entropy and the Shannon entropy. The detection performance was analyzed using four large well documented databases, namely the MIT-BIH Atrial fibrillation (n = 23), the MIT-BIH Normal Sinus Rhythm (n = 18), the BIDMC Congestive Heart Failure (n = 13) and the Congestive Heart Failure RRI databases (n = 25). Using thresholds by Receiver Operating Characteristic (ROC) curves, we found that the normalized RMSSD provided the highest accuracy. The overall sensitivity, specificity and accuracy for AF and CHF were 0.8649, 0.9331 and 0.9104, respectively. Regarding CHF detection, the detection rate of CHF (NYHA III-IV) was 0.9113 while CHF (NYHA I-II) was 0.7312, which shows that the detection rate of CHF with higher severity is higher than that of CHF with lower severity. For the clinical 24 hour data (n = 42), the overall sensitivity, specificity and accuracy for AF and CHF were 0.8809, 0.9406 and 0.9108, respectively, using normalized RMSSD.
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