20.500.12556/RUL-131717 Finite element modelling of cardiac ischemia and data mining application for ischemic detection and localization The main aim of this paper was to computationally simulate the cardiac ischemia employing Finite Element Method (FEM) and detect its presence and localization using data mining approach. A simplified heart-torso model was created based on computed tomography (CT) images, with performed segmentation of the heart (17 zones). Ischemic and non-ischemic cardiac beats were simulated in different zones with aim to create a virtual database which was used for data mining. Using the virtual database, we trained several classifiers and tested them for the purpose of ischemic beat detection based on the body surface potentials map (BSPM). If the ECG is classified as ischemic by the first stage classifier, potentials were processed by the second stage data mining model, which predicted the location of the ischemic area. The use of the second stage classifier, which located the ischemia in one of the heart’s segments created in the FEM model, goes beyond the current state of the art. Thus, the proposed approach is improved solution which can instantly allow clinicians to implement an adequate treatment strategy in future. finite element modeling cardiac ischemia data mining machine learning metoda končnih elementov ishemična bolezen srca podatkovno rudarjenje strojno učenje true false true Angleški jezik Slovenski jezik Članek v reviji 2021-10-01 10:24:30 2021-10-01 10:55:21 2022-09-10 04:13:21 0000-00-00 00:00:00 2018 0 0 6 str. iss. 8, art. 410 Vol. 2 Jul. 2018 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.8:616.127 2504-3900 10.3390/ICEM18-05269 1537806019 RAZ_Dorovic_Smiljana_2018.pdf RAZ_Dorovic_Smiljana_2018.pdf 1 E18D59E154F30C976A8BE4D907A766CE 5c1580af8ef137201687c01ac3e221da137c5062e963622c8e97a82b8ef79f90 c3121e12-2294-11ec-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=149108 https://www.mdpi.com/2504-3900/2/8/410 0 afdb7c59-2294-11ec-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=149107 Fakulteta za računalništvo in informatiko 0 0 0