Automated assessment of atrial fibrillation

Author

de Chazal, P. ; Heneghan, C.

Author_Institution

Univ. Coll. Dublin, Ireland

fYear

2001

fDate

2001

Firstpage

117

Lastpage

120

Abstract

This study presents our entry in this year\´s "Computers in Cardiology" challenge. The challenge is the automated assessment of the electrocardiogram for predicting the onset of paroxysmal atrial fibrillation/flutter (PAF). By considering a large set of features derived from R-R intervals, the P-wave shape and frequency representations of the P-wave, we compared the performance of a linear discriminant classifier processing the feature sets. A cross-validation scheme was used to estimate the classifier performance. The results demonstrated that features based on R-R intervals were the most successful. Independent testing showed that the ECG may be of some potential use in screening subjects for PAF and predicting the onset of PAF

Keywords

computer aided analysis; electrocardiography; medical signal processing; prediction theory; signal classification; ECG; P-wave frequency representations; P-wave shape; R-R intervals; automated atrial fibrillation assessment; automated electrocardiogram assessment; cardiology computing; cross-validation scheme; feature set processing; linear discriminant classifier performance estimation; paroxysmal atrial flutter onset prediction; patient screening; Aging; Atrial fibrillation; Automatic testing; Cardiology; Databases; Educational institutions; Electrocardiography; Frequency; Shape; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 2001

Conference_Location

Rotterdam

ISSN

0276-6547

Print_ISBN

0-7803-7266-2

Type

conf

DOI

10.1109/CIC.2001.977605

Filename

977605