A proposed combined Cornell-Sokolow modeling approach to determine the left ventricular hypertrophy accurately based on multi-domain information processing

Abstract

Abstract Left Ventricular Hypertrophy (LVH) is associated with cardiomyopathy and many other heart diseases. In this paper, the authors have proposed a combined Cornell-Sokolow (CCS) methodology to achieve significant improvement in detecting LVH by ECG/EKG with multi-domain analysis. Considering two famous voltage criteria simultaneously helps prevent the concealing of LVH in the patient’s data. The advancement of multi-domain analysis gives access to reach the algorithm from any common and cost-effective platform. This multi-domain analysis consists of both image and signal processing of the ECG data. In a MATLAB environment, these processes are quite accurate and optimized. With the help of the CCS model, the outcome of this research is satisfactory, both in terms of feature detection and LVH observation.