A method for detection of atrial fibrillation using RR intervals

Author

Tateno, K. ; Glass, L.

Author_Institution

Dept. of Physiol., McGill Univ., Montreal, Que., Canada

fYear

2000

fDate

2000

Firstpage

391

Lastpage

394

Abstract

This work describes a method for automatic detection of atrial fibrillation (AF) based on RR intervals. We define ΔRR to be the difference between successive RR intervals. The standard density histograms of RR and ΔRR intervals are determined from data in the MIT-BIH atrial fibrillation/flutter database. The present method estimates the similarity between the standard density histograms and a best density histogram by the Kolmogorov-Smirnov (KS) test. The algorithm returns significance (p) of difference between given histograms. If the p value is smaller than a value (P_c), the test density histogram is significantly different from the standard density histogram. If the test density histogram is not significantly different from the standard density histogram, we say the data is AF: Using the standard density histogram of ΔRR with P_c=0.01, the average sensitivity is 93.2% and the average specificity is 96.7%

Keywords

electrocardiography; medical signal detection; patient monitoring; Kolmogorov-Smirnov test; MIT-BIH atrial fibrillation/flutter database; RR intervals; atrial fibrillation detection; automatic detection; average sensitivity; average specificity; best density histogram; standard density histogram; standard density histograms; test density histogram; Atrial fibrillation; Cardiology; Databases; Glass; Histograms; Monitoring; Morphology; Physiology; Rhythm; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 2000

Conference_Location

Cambridge, MA

ISSN

0276-6547

Print_ISBN

0-7803-6557-7

Type

conf

DOI

10.1109/CIC.2000.898539

Filename

898539