Comparison of Different Electrocardiography with Vectorcardiography Transformations

This paper deals with transformations from electrocardiographic (ECG) to vectorcardiographic (VCG) leads. VCG provides better sensitivity, for example for the detection of myocardial infarction, ischemia, and hypertrophy. However, in clinical practice, measurement of VCG is not usually used because...

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Main Authors: Rene Jaros, Radek Martinek, Lukas Danys
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/14/3072
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author Rene Jaros
Radek Martinek
Lukas Danys
author_facet Rene Jaros
Radek Martinek
Lukas Danys
author_sort Rene Jaros
collection DOAJ
description This paper deals with transformations from electrocardiographic (ECG) to vectorcardiographic (VCG) leads. VCG provides better sensitivity, for example for the detection of myocardial infarction, ischemia, and hypertrophy. However, in clinical practice, measurement of VCG is not usually used because it requires additional electrodes placed on the patient’s body. Instead, mathematical transformations are used for deriving VCG from 12-leads ECG. In this work, Kors quasi-orthogonal transformation, inverse Dower transformation, Kors regression transformation, and linear regression-based transformations for deriving P wave (PLSV) and QRS complex (QLSV) are implemented and compared. These transformation methods were not yet compared before, so we have selected them for this paper. Transformation methods were compared for the data from the Physikalisch-Technische Bundesanstalt (PTB) database and their accuracy was evaluated using a mean squared error (MSE) and a correlation coefficient (R) between the derived and directly measured Frank’s leads. Based on the statistical analysis, Kors regression transformation was significantly more accurate for the derivation of the X and Y leads than the others. For the Z lead, there were no statistically significant differences in the medians between Kors regression transformation and the PLSV and QLSV methods. This paper thoroughly compared multiple VCG transformation methods to conventional VCG Frank’s orthogonal lead system, used in clinical practice.
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spelling doaj.art-9c95076297cb491bb92354b357d7a4c62022-12-22T02:55:17ZengMDPI AGSensors1424-82202019-07-011914307210.3390/s19143072s19143072Comparison of Different Electrocardiography with Vectorcardiography TransformationsRene Jaros0Radek Martinek1Lukas Danys2Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB–Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech RepublicDepartment of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB–Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech RepublicDepartment of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB–Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech RepublicThis paper deals with transformations from electrocardiographic (ECG) to vectorcardiographic (VCG) leads. VCG provides better sensitivity, for example for the detection of myocardial infarction, ischemia, and hypertrophy. However, in clinical practice, measurement of VCG is not usually used because it requires additional electrodes placed on the patient’s body. Instead, mathematical transformations are used for deriving VCG from 12-leads ECG. In this work, Kors quasi-orthogonal transformation, inverse Dower transformation, Kors regression transformation, and linear regression-based transformations for deriving P wave (PLSV) and QRS complex (QLSV) are implemented and compared. These transformation methods were not yet compared before, so we have selected them for this paper. Transformation methods were compared for the data from the Physikalisch-Technische Bundesanstalt (PTB) database and their accuracy was evaluated using a mean squared error (MSE) and a correlation coefficient (R) between the derived and directly measured Frank’s leads. Based on the statistical analysis, Kors regression transformation was significantly more accurate for the derivation of the X and Y leads than the others. For the Z lead, there were no statistically significant differences in the medians between Kors regression transformation and the PLSV and QLSV methods. This paper thoroughly compared multiple VCG transformation methods to conventional VCG Frank’s orthogonal lead system, used in clinical practice.https://www.mdpi.com/1424-8220/19/14/3072electrocardiographyvectorcardiographytransformationFrank’s leadsKors transformationdower transformationquasi-orthogonal leadsleast-squares fit method
spellingShingle Rene Jaros
Radek Martinek
Lukas Danys
Comparison of Different Electrocardiography with Vectorcardiography Transformations
Sensors
electrocardiography
vectorcardiography
transformation
Frank’s leads
Kors transformation
dower transformation
quasi-orthogonal leads
least-squares fit method
title Comparison of Different Electrocardiography with Vectorcardiography Transformations
title_full Comparison of Different Electrocardiography with Vectorcardiography Transformations
title_fullStr Comparison of Different Electrocardiography with Vectorcardiography Transformations
title_full_unstemmed Comparison of Different Electrocardiography with Vectorcardiography Transformations
title_short Comparison of Different Electrocardiography with Vectorcardiography Transformations
title_sort comparison of different electrocardiography with vectorcardiography transformations
topic electrocardiography
vectorcardiography
transformation
Frank’s leads
Kors transformation
dower transformation
quasi-orthogonal leads
least-squares fit method
url https://www.mdpi.com/1424-8220/19/14/3072
work_keys_str_mv AT renejaros comparisonofdifferentelectrocardiographywithvectorcardiographytransformations
AT radekmartinek comparisonofdifferentelectrocardiographywithvectorcardiographytransformations
AT lukasdanys comparisonofdifferentelectrocardiographywithvectorcardiographytransformations