Statistical Evaluation of Transformation Methods Accuracy on Derived Pathological Vectorcardiographic Leads
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10251914" target="_blank" >RIV/61989100:27240/22:10251914 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9756515" target="_blank" >https://ieeexplore.ieee.org/document/9756515</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/JTEHM.2022.3167009" target="_blank" >10.1109/JTEHM.2022.3167009</a>
Alternative languages
Result language
angličtina
Original language name
Statistical Evaluation of Transformation Methods Accuracy on Derived Pathological Vectorcardiographic Leads
Original language description
Objective: Vectorcardiography (VCG) as an alternative form of ECG provides important spatial information about the electrical activity of the heart. It achieves higher sensitivity in the detection of some pathologies such as myocardial infarction, ischemia and hypertrophy. However, vectorcardiography is not commonly measured in clinical practice, and for this reason mathematical transformations have been developed to obtain derived VCG leads, which in application in current systems and subsequent analysis can contribute to early diagnosis and obtaining other useful information about the electrical activity of the heart. Methods and procedures: The most frequently used transformation methods are compared, namely the Kors regression method, the Inverse Dower transformation, QLSV and the Quasi-orthogonal transformation. These transformation methods were used on 30 randomly selected records with a diagnosis of myocardial infarction from the Physikalisch-Technische Bundesanstalt (PTB) database and their accuracy was evaluated based on the calculation of the mean square error (MSE). MSE was subjected to statistical evaluation at a significance level of 0.05. Results: Based on statistical testing using the nonparametric multiselective Kruskall-Wallis test and subsequent post-hoc analysis using the Dunn method, the Kors regression as a whole method achieved the most accurate transformation. Conclusion: The results of statistical analysis provide an evaluation of the accuracy of several transformation methods for deriving orthogonal leads, for possible application in measuring and evaluation systems, which may contribute to the correct choice of method for subsequent analysis of electrical activity of the heart at orthogonal leads to predict various diseases.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Journal of Translational Engineering in Health and Medicine-JTEHM
ISSN
2168-2372
e-ISSN
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Volume of the periodical
10
Issue of the periodical within the volume
4/2022
Country of publishing house
US - UNITED STATES
Number of pages
8
Pages from-to
nestrankovano
UT code for WoS article
000785734400001
EID of the result in the Scopus database
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