Finite element modelling of cardiac ischemia and data mining application for ischemic detection and localization

Đorović, Smiljana (author), Robnik Šikonja, Marko (author), Radović, Miloš D. (author), Anđelković Ćirković, Bojana (author), Filipović, Nenad (author)

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.

• Language: English
• Keywords: finite element modeling, cardiac ischemia, data mining, machine learning
• Work type: Article
• Typology: 1.08 - Published Scientific Conference Contribution
• Organization: FRI - Faculty of Computer and Information Science
• Publication status: Published
• Publication version: Version of Record
• Year: 2018
• Number of pages: 6 str.
• Numbering: Vol. 2, iss. 8, art. 410
• PID: 20.500.12556/RUL-131717
• UDC: 004.8:616.127
• ISSN on article: 2504-3900
• DOI: 10.3390/ICEM18-05269
• COBISS.SI-ID: 1537806019
• Publication date in RUL: 01.10.2021

Record is a part of a journal

• Title: Proceedings
• Shortened title: Proceedings
• Publisher: MDPI
• ISSN: 2504-3900
• COBISS.SI-ID: 42487341

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
• Licensing start date: 05.07.2018

Secondary language

• Language: Slovenian
• Keywords: metoda končnih elementov, ishemična bolezen srca, podatkovno rudarjenje, strojno učenje