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On the derivation of vectorcardiographic parameters in continuous ECG monitoring applications

Guldenring, Daniel, Finlay, Dewar D., Bond, Raymond R., Kennedy, Alan, Moran, Kieran orcid logoORCID: 0000-0003-2015-8967 and McLaughlin, James (2015) On the derivation of vectorcardiographic parameters in continuous ECG monitoring applications. In: 7th Annual Translational Medicine Conference, 26-27 Oct 2015, Derry, Northern Ireland.

The spatial QRS-T angle (SA) has been identified as a marker for changes in the ventricular depolarization and repolarization sequence [1]. The determination of the SA requires vectorcardiographic (VCG) data. However, VCG data is seldom recorded in monitoring applications [2]. This is mainly due to the fact that the number and location of the electrodes required for recording the Frank VCG complicate the recording of VCG data in monitoring applications. Alternatively, reduced lead systems (RLS) allow for the derivation of the Frank VCG from a reduced number of electrocardiographic (ECG) leads. Derived Frank VCGs provide a practical means for the determination of the SA in monitoring applications. One widely studied RLS that is used in clinical practice is based upon Mason-Likar leads I, II, V1 and V5 (RL) [3]. The aim of this research was two-fold. First, to develop a linear ECG lead transformation matrix that allows for the derivation of the Frank VCG from the RL system. Second, to assess the accuracy of the RL derived SA (RSA).
Item Type:Conference or Workshop Item (Poster)
Event Type:Conference
Uncontrolled Keywords:cardiograph; reduced lead systems; RLS; vectorcardiographic; VCG
Subjects:Medical Sciences > Health
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Science and Health > School of Health and Human Performance
Research Institutes and Centres > INSIGHT Centre for Data Analytics
Copyright Information:© 2015 The authors.
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:European Commission, Horizon 2020 Programme (Call H2020-PHC-2014, Grant no. 643491).
ID Code:21945
Deposited On:25 Aug 2017 09:43 by Giulia Migliorato . Last Modified 26 May 2022 13:26

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