Computer-aided detection of arrhythmogenic sites in post-ischemic ventricular tachycardia.

ABSTRACT: Nowadays, catheter-based ablation in patients with post-ischemic ventricular tachycardia (VT) is performed in arrhythmogenic sites identified by electrophysiologists by visual inspection during electroanatomic mapping. This work aims to present the development of machine learning tools aiming at supporting clinicians in the identification of arrhythmogenic sites by exploiting innovative features that belong to different domains. This study included 1584 bipolar electrograms from nine patients affected by post-ischemic VT. Different features were extracted in the time, time scale, frequency, and spatial domains and used to train different supervised classifiers. Classification results showed high performance, revealing robustness across the different classifiers in terms of accuracy, true p

SUBMITTER: Baldazzi G 

PROVIDER: S-EPMC10140038 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature