Ulster University Logo

Improved recording of atrial activity by modified bipolar leads derived from the 12-lead electrocardiogram

Alan, Kennedy, Finlay, Dewar, Guldenring, Daniel, Bond, Raymond, David, McEneaney, Peace, Aaron and McLaughlin, James (2015) Improved recording of atrial activity by modified bipolar leads derived from the 12-lead electrocardiogram. Journal of Electrocardiology, 48 (6). pp. 1017-1021. [Journal article]

Full text not available from this repository.

URL: http://www.sciencedirect.com/science/article/pii/S0022073615002678

DOI: doi:10.1016/j.jelectrocard.2015.08.025

Abstract

This study investigates the use of multivariate linear regression to estimate three bipolar ECG leads from the 12-lead ECG in order to improve P-wave signal strength. The study population consisted of body surface potential maps recorded from 229 healthy subjects. P-waves were then isolated and population based transformation weights developed. A derived P-lead (measured between the right sternoclavicular joint and midway along the costal margin in line with the seventh intercostal space) demonstrated significant improvement in median P-wave root mean square (RMS) signal strength when compared to lead II (94 μV vs. 76 μV, p < 0.001). A derived ES lead (from the EASI lead system) also showed small but significant improvement in median P-wave RMS (79 μV vs. 76 μV, p = 0.0054). Finally, a derived modified Lewis lead did not improve median P-wave RMS when compared to lead II. However, this derived lead improved atrioventricular RMS ratio. P-wave leads derived from the 12-lead ECG can improve signal-to-noise ratio of the P-wave; this may improve the performance of detection algorithms that rely on P-wave analysis.

Item Type:Journal article
Keywords:ECG, data science, health informatics
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
Engineering Research Institute > Nanotechnology & Integrated BioEngineering Centre (NIBEC)
Computer Science Research Institute > Smart Environments
Computer Science Research Institute
ID Code:32528
Deposited By: Dr Raymond Bond
Deposited On:04 Nov 2015 11:26
Last Modified:04 Nov 2015 11:26

Repository Staff Only: item control page