Present results and methods of vectorcardiographic diagnostics of ischemic heart disease
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články, přehledy, práce podpořená grantem
PubMed
38103481
DOI
10.1016/j.compbiomed.2023.107781
PII: S0010-4825(23)01246-5
Knihovny.cz E-zdroje
- Klíčová slova
- Automatization, Classification, ECG, Electrical heart space, Ischemic heart disease, VCG,
- MeSH
- elektrokardiografie metody MeSH
- infarkt myokardu * MeSH
- lidé MeSH
- myokard MeSH
- počítačové zpracování signálu MeSH
- srdce fyziologie MeSH
- vektorkardiografie * metody MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
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.
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