COMPUTATIONAL STUDY OF LEFT VENTRICULAR DYSFUNCTION

Left ventricular dysfunction (LVD) is a prevalent cardiovascular condition that significantly impacts heart function. This computational study employs a comprehensive cardiovascular model to investigate how various physiological factors influence LV performance. The model incorporates realistic representations of LV mechanics, including detailed descriptions of muscular properties and contractile behavior. Additionally, the model integrates a comprehensive representation of systemic circulation, encompassing blood vessel elasticity and resistance. Following validation against clinical data, simulations are conducted to explore the influence of different physiological parameters on LV function. These parameters could include preload, afterload and contractility. The simulations generate detailed pressure and volume waveforms within the left ventricle for further analysis. By analyzing these waveforms, the study aims to identify key relationships between the chosen physiological parameters and specific features of LV mechanics, such as stroke volume and ejection fraction. This computational approach not only deepens our understanding of the mechanisms underlying LVD but also paves the way for developing patient-specific models in the future. Such models could be instrumental in guiding personalized treatment strategies for cardiovascular patients with LVD.

Keywords: cardiovascular model, parameters, waveforms.