Title :
Automated assessment of atrial fibrillation
Author :
de Chazal, P. ; Heneghan, C.
Author_Institution :
Univ. Coll. Dublin, Ireland
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;
Conference_Titel :
Computers in Cardiology 2001
Conference_Location :
Rotterdam
Print_ISBN :
0-7803-7266-2
DOI :
10.1109/CIC.2001.977605
