| Grant number: | 17/22949-3 |
| Support type: | Regular Research Grants |
| Duration: | September 01, 2018 - February 28, 2021 |
| Field of knowledge: | Physical Sciences and Mathematics - Computer Science - Computer Systems |
| Principal Investigator: | Regina Célia Coelho |
| Grantee: | Regina Célia Coelho |
| Home Institution: | Instituto de Ciência e Tecnologia (ICT). Universidade Federal de São Paulo (UNIFESP). Campus São José dos Campos. São José dos Campos , SP, Brazil |
| Assoc. researchers: | Carlos Marcelo Gurjão de Godoy ; Daniela Mayumi Ushizima ; Elbert Einstein Nehrer Macau ; Fábio Luís Valério da Silva ; Fátima Nelsizeuma Sombra de Medeiros ; Jurandy Gomes de Almeida Junior |
Abstract
Modern and sophisticated computational models allow accurate and detailed animation/simulation of the beating heart. Even though those computational resources are valuable for studies, teaching, and research in the medical area, they do not exhibit flexibility for animation/simulation beyond those customized and pre-programmed for the heart model. Thus, we initiated, with grants from FAPESP, the development of a computational tool that expresses, in a simplified 3D virtual model of the heart, the cardiac movement during its beating by using parameters (essentially the durations of the cardiac contraction and relaxation) obtained from interpretation of the ECG. By doing so, the simulation makes it possible for the model, based on medical images, to incorporate data obtainable from the ECG and not only those pre-programmed. The objective of the present project is to deepen and advance the development of the heart simulation by obtaining a more realistic animation of the heart (detailed 3D virtual heart) that would express diversified arrhythmias and cardiac infarction. For that, it is intended to perform measurements and dynamic (real-time) interpretation of durations and strength of ECG waves to identify those cardiac pathologies. It is also intended to perform the analysis of cardiac images generated by magnetic resonance or echocardiography for extraction of parameters related to the heart movements that will be implemented in the simulation. Such image analyses will also be used for the computational model validation considering quantitative aspects of the correct anatomical/physiological functionality of the heart at the pathological conditions identified in the ECG interpretation. (AU)