Next Article in Journal
Crack Tip Monitoring of Mode I and Mode II Delamination in CF/Epoxies under Static and Dynamic Loading Conditions Using Digital Image Correlation
Previous Article in Journal
Acoustic Emission Signal Associated to Fiber Break during a Single Fiber Fragmentation Test: Modeling and Experiment
Article Menu
Issue 8 (ICEM 2018) cover image

Export Article

Open AccessProceedings
Proceedings 2018, 2(8), 410; https://doi.org/10.3390/ICEM18-05269

Finite Element Modelling of Cardiac Ischemia and Data Mining Application for Ischemic Detection and Localization

1
Faculty of Engineering, University of Kragujevac, 34000 Kragujevac, Serbia
2
Faculty of Computer and Information Science, University of Ljubljana, 1000 Ljubljana, Slovenia
*
Author to whom correspondence should be addressed.
Presented at the 18th International Conference on Experimental Mechanics, Brussels, Belgium, 1–5 July 2018.
Published: 24 May 2018
(This article belongs to the Proceedings of ICEM 2018)
PDF [1387 KB, uploaded 8 June 2018]

Abstract

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.
Keywords: finite element modeling; cardiac ischemia; data mining finite element modeling; cardiac ischemia; data mining
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Smiljana, Đ.; Marko, R.-Š.; Miloš, R.; Bojana, A.Ć.; Nenad, F. Finite Element Modelling of Cardiac Ischemia and Data Mining Application for Ischemic Detection and Localization. Proceedings 2018, 2, 410.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Proceedings EISSN 2504-3900 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top