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

Sofiane Boudaoud (1) , Hervé Rix (1) , Jean-Jacques Blanc (2) , Jean Christophe Cornily (2) , Olivier Meste (1)

1 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe SIGNAL
2 Service de Cardiologie, Brest

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.

Mots clés: P-wave morphology; atrial fibrillation risk detection; body surface ECG; clustering algorithm; conduction defects

Domaines: Traitement du signal et de l'image [eess.SP]; Cardiologie et système cardiovasculaire; Traitement du signal et de l'image [eess.SP]

Sofiane Boudaoud, Hervé Rix, Jean-Jacques Blanc, Jean Christophe Cornily, Olivier Meste. Integrated shape averaging of the P-wave applied to AF risk detection. Computers in Cardiology, Sep 2003, Thessaloniki Chalkidiki, Greece. pp.125 - 128, ⟨10.1109/CIC.2003.1291106⟩. ⟨hal-00555132⟩