Identification of Brugada syndrome based on P-wave features: an artificial intelligence-based approach.

ABSTRACT:

Aims

Brugada syndrome (BrS) is an inherited disease associated with an increased risk of ventricular arrhythmias. Recent studies have reported the presence of an altered atrial phenotype characterized by abnormal P-wave parameters. The aim of this study was to identify BrS based exclusively on P-wave features through an artificial intelligence (AI)-based model.

Methods and results

Continuous 5 min 12-lead ECG recordings were obtained in sinus rhythm from (i) patients with spontaneous or ajmaline-induced BrS and no history of AF and (ii) subjects with suspected BrS and negative ajmaline challenge. The recorded ECG signals were processed and divided into epochs of 15 s each. Within these epochs, P-waves were first identified and then averaged. From the averaged P-waves, a tota

SUBMITTER: Zanchi B 

PROVIDER: S-EPMC10683037 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature