Atrial Fibrillation Detection using Time-Varying Coherence Function and Shannon Entropy

被引：0

作者：

Lee, J. ^{[1
]}

McManus, D. ^{[2
]}

Chon, K. ^{[1
]}

机构：

[1] Worcester Polytech Inst, Dept Biomed Engn, Worcester, MA 01609 USA

[2] Univ Massachusetts Med Ctr, Dept Med & Quantitat Hlth Sci, Cardiol Div, Worcester, MA 01605 USA

来源：

2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2011年

关键词：

SIGNAL-AVERAGED ELECTROCARDIOGRAM; PREVALENCE; RISK; IDENTIFICATION; ALGORITHM; RHYTHM;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

We introduce a novel method for automatic detection of Atrial Fibrillation (AF) using time-varying coherence functions (TVCF) and Shannon Entropy (SE). The TVCF is estimated by the multiplication of two time-varying transfer functions (TVTFs). Two TVTFs are obtained using two adjacent data segments with one data segment as the input signal and the other data segment as the output to produce the first TVTF; the second TVTF is produced by reversing the input and output signals. The detection algorithm was tested on RR interval time series derived from two databases: the MIT-BIH Atrial Fibrillation (AF) and the MIT-BIH normal sinus rhythm (NSR). The MIT-BIH database contains a variety of short and long AF beats from 25 subjects and the MIT-BIH NSR database consists of only normal sinus rhythms from 18 subjects. Using the receiver operating characteristic curves from the combination of TVCF and SE, we obtained the accuracy of 97.49%, sensitivity of 97.41% and specificity of 97.54% for the MIT-BIH AF database. Furthermore, the specificity of the MIT-BIH NSR database was 100%.

引用

页码：4685 / 4688

页数：4

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