Integrated shape averaging of the P-wave applied to AF risk detection

Author

Boudaoud, S. ; Rix, H. ; Blanc, J.J. ; Cornily, J.C. ; Meste, O.

Author_Institution

Nice Univ., France

fYear

2003

fDate

21-24 Sept. 2003

Firstpage

125

Lastpage

128

Abstract

The recognition of patients with atrial fibrillation (AF) risk, from body surface ECG, remains an actual problem. The aim of the work is to investigate how the study of the P-wave morphology may assess any clustering algorithm in separating patients with AF risk from healthy subjects. The clustering is done by the k-means algorithm and using a new method: the integrated shape averaging (ISA). According to the results, the method was able to separate patients with AF risk from safety ones with 75 % sensitivity and 70 % specificity on 40 recordings. Furthermore, two families of P-wave patterns were characterized among the patients with AF risk and probably corresponding to electrical manifestations of conduction defects in the left or the right atrium.

Keywords

bioelectric potentials; electrocardiography; medical signal processing; pattern clustering; P-wave morphology; atrial fibrillation risk detection; body surface ECG; clustering algorithm; conduction defects; electrical manifestations; integrated shape averaging; k-means algorithm; left atrium; right atrium; Atrial fibrillation; Clustering algorithms; Delay; Design for manufacture; Distribution functions; Electrocardiography; Equations; Instruction sets; Safety; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology, 2003

ISSN

0276-6547

Print_ISBN

0-7803-8170-X

Type

conf

DOI

10.1109/CIC.2003.1291106

Filename

1291106