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

Guldenring, Daniel, Finlay, Dewar, Strauss, David, Galeotti, Loriano, Nugent, Chris, Donnelly, Mark and Bond, RR (2012) Transformation of the Mason-Likar 12-lead electrocardiogram to the Frank vectorcardiogram. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), San Diego. IEEE Xplore. 4 pp. [Conference contribution]

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URL: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6346022&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6346022

DOI: 10.1109/EMBC.2012.6346022

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<;.001), Y (15.1μV; p<;.001) and Z (2.6μV; p=.001) when compared to the 2 step transformation. Our results show that the 2step method may not be optimal when transforming ML 12-lead ECGs to Frank VCGs. The utilization of the herein developed ML2VCG transformation should thus be considered when transforming ML 12-lead ECGs to Frank VCGs.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Faculty of Computing & Engineering > School of Engineering
Research Institutes and Groups:Engineering Research Institute
Computer Science Research Institute
Computer Science Research Institute > Smart Environments
ID Code:28686
Deposited By: Dr Raymond Bond
Deposited On:20 Feb 2014 11:44
Last Modified:20 Feb 2014 11:44

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