Transformation of the Mason-Likar 12-lead electrocardiogram to the Frank vectorcardiogram

Daniel Guldenring, Dewar Finlay, David Strauss, Loriano Galeotti, Chris Nugent, Mark Donnelly, RR Bond

Research output: Chapter in Book/Report/Conference proceedingConference contribution

24 Citations (Scopus)

Abstract

Vectorcardiograpic (VCG) parameters can supplement the diagnostic information of the 12-lead electrocardiogram (ECG). Nevertheless, the VCG is seldom recorded in modern-day practice. A common approach today is to derive the Frank VCG from the standard 12-lead ECG (distal limb electrode positions). There is, to date no direct method that allows for a transformation from 12-lead ECGs with proximal limb electrode positions (Mason-Likar (ML) 12-lead ECG), to Frank VCGs. In this research, we develop such a transformation (ML2VCG) by means of multivariate linear regression on a training data set of 545 ML 12-lead ECGs and corresponding Frank VCGs that were both extracted surface potential maps (BSPMs). We compare the performance of the ML2VCG method against an alternative approach (2step method) that utilizes two existing transformations that are applied consecutively (ML 12-lead ECG to standard 12-lead ECG and subsequently to Frank VCG). We quantify the performance of ML2VCG and 2 step on an unseen test dataset (181 ML 12-lead ECGs and corresponding Frank VCGs again extracted from BSPMs) through root mean squared error (RMSE) values, calculated over the QRST, between actual and transformed Frank leads. The ML2VCG transformation achieved a reduction of the median RMSE values for leads X (13.9μV; p
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages677-680
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2012
EventAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - San Diego
Duration: 1 Dec 2012 → …

Conference

ConferenceAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Period1/12/12 → …

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electrode
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Cite this

Guldenring, Daniel ; Finlay, Dewar ; Strauss, David ; Galeotti, Loriano ; Nugent, Chris ; Donnelly, Mark ; Bond, RR. / Transformation of the Mason-Likar 12-lead electrocardiogram to the Frank vectorcardiogram. Unknown Host Publication. 2012. pp. 677-680
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abstract = "Vectorcardiograpic (VCG) parameters can supplement the diagnostic information of the 12-lead electrocardiogram (ECG). Nevertheless, the VCG is seldom recorded in modern-day practice. A common approach today is to derive the Frank VCG from the standard 12-lead ECG (distal limb electrode positions). There is, to date no direct method that allows for a transformation from 12-lead ECGs with proximal limb electrode positions (Mason-Likar (ML) 12-lead ECG), to Frank VCGs. In this research, we develop such a transformation (ML2VCG) by means of multivariate linear regression on a training data set of 545 ML 12-lead ECGs and corresponding Frank VCGs that were both extracted surface potential maps (BSPMs). We compare the performance of the ML2VCG method against an alternative approach (2step method) that utilizes two existing transformations that are applied consecutively (ML 12-lead ECG to standard 12-lead ECG and subsequently to Frank VCG). We quantify the performance of ML2VCG and 2 step on an unseen test dataset (181 ML 12-lead ECGs and corresponding Frank VCGs again extracted from BSPMs) through root mean squared error (RMSE) values, calculated over the QRST, between actual and transformed Frank leads. The ML2VCG transformation achieved a reduction of the median RMSE values for leads X (13.9μV; p",
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Guldenring, D, Finlay, D, Strauss, D, Galeotti, L, Nugent, C, Donnelly, M & Bond, RR 2012, Transformation of the Mason-Likar 12-lead electrocardiogram to the Frank vectorcardiogram. in Unknown Host Publication. pp. 677-680, Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 1/12/12. https://doi.org/10.1109/EMBC.2012.6346022

Transformation of the Mason-Likar 12-lead electrocardiogram to the Frank vectorcardiogram. / Guldenring, Daniel; Finlay, Dewar; Strauss, David; Galeotti, Loriano; Nugent, Chris; Donnelly, Mark; Bond, RR.

Unknown Host Publication. 2012. p. 677-680.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Transformation of the Mason-Likar 12-lead electrocardiogram to the Frank vectorcardiogram

AU - Guldenring, Daniel

AU - Finlay, Dewar

AU - Strauss, David

AU - Galeotti, Loriano

AU - Nugent, Chris

AU - Donnelly, Mark

AU - Bond, RR

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N2 - Vectorcardiograpic (VCG) parameters can supplement the diagnostic information of the 12-lead electrocardiogram (ECG). Nevertheless, the VCG is seldom recorded in modern-day practice. A common approach today is to derive the Frank VCG from the standard 12-lead ECG (distal limb electrode positions). There is, to date no direct method that allows for a transformation from 12-lead ECGs with proximal limb electrode positions (Mason-Likar (ML) 12-lead ECG), to Frank VCGs. In this research, we develop such a transformation (ML2VCG) by means of multivariate linear regression on a training data set of 545 ML 12-lead ECGs and corresponding Frank VCGs that were both extracted surface potential maps (BSPMs). We compare the performance of the ML2VCG method against an alternative approach (2step method) that utilizes two existing transformations that are applied consecutively (ML 12-lead ECG to standard 12-lead ECG and subsequently to Frank VCG). We quantify the performance of ML2VCG and 2 step on an unseen test dataset (181 ML 12-lead ECGs and corresponding Frank VCGs again extracted from BSPMs) through root mean squared error (RMSE) values, calculated over the QRST, between actual and transformed Frank leads. The ML2VCG transformation achieved a reduction of the median RMSE values for leads X (13.9μV; p

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