An Analysis of Univariate and Multivariate Electrocardiography Signal Classification

Abstract

Heart diseases are mainly diagnosed by the electrocardiogram (ECG) or (EKG). The correct classification of ECG signals helps in diagnosing heart diseases. In this paper, we study and analyze the univariate and multivariate ECG signal classification problems to find the optimal classifier for ECG signals from existing state-of-the-art time series classification models.