Present results and methods of vectorcardiographic diagnostics of ischemic heart disease.

Autor: Kijonka J; Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB - Technical University of Ostrava, 17.listopadu 15, Ostrava, Poruba, 708 00, Czech Republic. Electronic address: jan.kijonka@vsb.cz., Vavra P; Department of Surgical Studies, Faculty of Medicine of the University of Ostrava, Syllabova 19, 703 00, Ostrava 3, Czech Republic; Surgery Clinic, University Hospital Ostrava, 17. listopadu 13, Ostrava, Czech Republic. Electronic address: petr.vavra@osu.cz., Penhaker M; Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB - Technical University of Ostrava, 17.listopadu 15, Ostrava, Poruba, 708 00, Czech Republic; Faculty of Electrical Engineering and Information Technology, University of Zilina, Zilina, Czech Republic. Electronic address: marek.penhaker@vsb.cz., Bibbo D; Department of Industrial, Electronic and Mechanical Engineering, Roma Tre University, Via Vito Volterra, 62, 00146, Rome, Italy. Electronic address: daniele.bibbo@uniroma3.it., Kudrna P; Department of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University in Prague, Nam. Sitna 3105, 272 01, Kladno, Czech Republic. Electronic address: petr.kudrna@fbmi.cvut.cz., Kubicek J; Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB - Technical University of Ostrava, 17.listopadu 15, Ostrava, Poruba, 708 00, Czech Republic. Electronic address: jan.kubicek@vsb.cz.
Jazyk: angličtina
Zdroj: Computers in biology and medicine [Comput Biol Med] 2024 Feb; Vol. 169, pp. 107781. Date of Electronic Publication: 2023 Dec 02.
DOI: 10.1016/j.compbiomed.2023.107781
Abstrakt: This article presents an overview of existing approaches to perform vectorcardiographic (VCG) diagnostics of ischemic heart disease (IHD). Individual methodologies are divided into categories to create a comprehensive and clear overview of electrical cardiac activity measurement, signal pre-processing, features extraction and classification procedures. An emphasis is placed on methods describing the electrical heart space (EHS) by several features extraction techniques based on spatiotemporal characteristics or signal modelling and signal transformations. Performance of individual methodologies are compared depending on classification of extent of ischemia, acute forms - myocardial infarction (MI) and myocardial scars localization. Based on a comparison of imaging methods, the advantages of VCG over the standard 12-leads ECG such as providing a 3D orthogonal leads imaging, better performance, and appropriate computer processing are highlighted. The issues of electrical cardiac activity measurements on body surface, the lack of VKG databases supported by a more accurate imaging method, possibility of comparison with the physiology of individual cases are outlined as potential reserves for future research.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2023. Published by Elsevier Ltd.)
Databáze: MEDLINE
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