DocumentCode
2320090
Title
Three different algorithms for identifying patients suffering from atrial fibrillation during atrial fibrillation free phases of the ECG
Author
Kikillus, N. ; Hammer, G. ; Lentz, N. ; Stockwald, F. ; Bolz, A.
Author_Institution
Univ. of Karlsruhe, Karlsruhe
fYear
2007
fDate
Sept. 30 2007-Oct. 3 2007
Firstpage
801
Lastpage
804
Abstract
The paper presents and compares three different methods to detect atrial fibrillation using algorithms. Each of these algorithms can identify patients suffering from atrial fibrillation even if there is no atrial fibrillation visible on the ECG. All methods are based on RR-intervals; thus, only a single channel ECG is required. These algorithms have been tested using the MIT-BIH atrial fibrillation database and the MIT-BIH normal sinus rhythm database. The sensitivity and specificity of method 1 is 91.5% and 96.9% respectively. Method 2 results in a sensitivity of 93.3% and a specificity of 92.8% and method 3 in a sensitivity of 94.1% and a specificity of 93.4%. Even if an atrial fibrillation burden of 0% is assumed, the sensitivity still proves satisfactory (sensitivity of method 1, 2 and 3 is 82.9%, 96.3% and 94.1%, respectively).
Keywords
diseases; electrocardiography; medical signal processing; ECG; MIT-BIH; RR-intervals; atrial fibrillation; normal sinus rhythm database; Atrial fibrillation; Cardiac disease; Cardiovascular diseases; Databases; Electrocardiography; Equations; Heart rate; Heart rate variability; Image sequence analysis; Time domain analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Cardiology, 2007
Conference_Location
Durham, NC
ISSN
0276-6547
Print_ISBN
978-1-4244-2533-4
Electronic_ISBN
0276-6547
Type
conf
DOI
10.1109/CIC.2007.4745607
Filename
4745607
Link To Document