Selected transformation methods and their comparison for VCG leads deriving

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10247940" target="_blank" >RIV/61989100:27240/22:10247940 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S1110016821005834" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1110016821005834</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.aej.2021.08.068" target="_blank" >10.1016/j.aej.2021.08.068</a>

Result language

angličtina

Original language name

Selected transformation methods and their comparison for VCG leads deriving

Original language description

Vectorcardiography (VCG) as an alternative form of 12-lead ECG is another method of measuring the electrical activity of the heart. The use of vectorcardiography in clinical practice is not common, but VCG leads can be derived from 12-lead ECG. VCG has proven to be a useful and more accurate tool for diagnosing various heart diseases within automated detection. This paper presents the application of four transformation methods namely: Kors regression, IDT, QLSV and Quasi-Orthogonal transformation to obtain a derived VCG. A total of 20 physiological and 20 records with the diagnosis of myocardial infarction were used. For physiological records, the Kors regression method achieved the best results in leads X and Y with relative deviation &lt;1%, correlation and percentage similarity &gt;99%. In lead Z, the QLSV method achieved the most accurate results with relative deviation &lt;1%, correlation &gt;98% and percentage similarity &gt;99%. For pathological records, the most accurate method in all leads was Kors regression with relative deviation &lt;2.2%, correlation &gt;93% and percentage similarity &gt;97%. From these results, there is the possibility of creating a new transformation method from the existing ones in order to obtain a more accurate transformation. (C) 2021 THE AUTHORS

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

—

OECD FORD branch

20202 - Communication engineering and systems

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Alexandria Engineering Journal

ISSN

1110-0168

e-ISSN

—

Volume of the periodical

Volume 61

Issue of the periodical within the volume

5

Country of publishing house

US - UNITED STATES

Number of pages

11

Pages from-to

3475-3485

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85114908924