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

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

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.

• Jezik: Angleški jezik
• Ključne besede: finite element modeling, cardiac ischemia, data mining, machine learning
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.08 - Objavljeni znanstveni prispevek na konferenci
• Organizacija: FRI - Fakulteta za računalništvo in informatiko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2018
• Št. strani: 6 str.
• Številčenje: Vol. 2, iss. 8, art. 410
• PID: 20.500.12556/RUL-131717
• UDK: 004.8:616.127
• ISSN pri članku: 2504-3900
• DOI: 10.3390/ICEM18-05269
• COBISS.SI-ID: 1537806019
• Datum objave v RUL: 01.10.2021

Gradivo je del revije

• Naslov: Proceedings
• Skrajšan naslov: Proceedings
• Založnik: MDPI
• ISSN: 2504-3900
• COBISS.SI-ID: 42487341

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
• Začetek licenciranja: 05.07.2018

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: metoda končnih elementov, ishemična bolezen srca, podatkovno rudarjenje, strojno učenje