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Arrhythmogenic cardiomyopathy (AC) is a rare disease associated with ventricular arrhythmias and sudden cardiac death. While AC of the right ventricle has been more extensively studied, exclusive left-ventricle involvement needs to be better characterized. Myocardial strain, obtained by feature tracking, provide insight into its biomechanical behavior. To characterize it, multivariate classifiers can be applied. The sample consisted of 13 AC-LV and 13 non-carriers of the mutation. The feature tracking algorithm of Circle cvi42 was applied to the cardiac magnetic resonance of each patient. A Naive Bayes classifier with a feature subset selection method was applied to the parameters of peak strain, strain rate, displacement and velocity. We obtained an accuracy of 90% in NB and we arrived to 93% for CFS-NB. The strain parameters selected by the FSS algorithm were three: longitudinal peak strain and peak systolic and diastolic velocities. In all the selected features, AC-LV patients had smaller values as controls. In conclusion, myocardial strain is affected in AC-LV patients. Naive Bayes classifiers allow obtaining a good discriminating accuracy among groups.

Arrhythmogenic Cardiomyopathy (ACM) is a heritable cardiac disease causing sudden cardiac death in young people. Its clinical diagnosis includes major and minor criteria based on alterations of the electrocardiogram (ECG). The aim of this study is to propose and evaluate new criteria based on Principal Component Analysis (PCA) applied to 12-lead ECG signals and find differences between individuals affected and unaffected by ACM. Datasets consist of 12-lead ECG recordings from 32 patients diagnosed with ACM, and 37 relatives of those affected, but without gene mutation. We extracted 8 eigenvalues from each recording. Next, we proposed two criteria (C1 and C2) representing the percentage of energy in eigenvalues of non-dipolar and third principal components respectively. Results show that the most significant indicator was C1, with values of 0.026 +/- 0.015 in ACM patients and 0.014 +/- 0.009 in those not affected by ACM (p