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Lead selection: old and new methods for locating the most electrocardiogram information

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Donnelly, Mark, Finlay, Dewar, Nugent, Chris and Black, Norman (2008) Lead selection: old and new methods for locating the most electrocardiogram information. Journal of Electrocardiology, 41 (3). pp. 257-263. [Journal article]

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URL: http://www.jecgonline.com/article/S0022-0736(08)00051-4/abstract

DOI: 10.1016/j.jelectrocard.2008.02.004

Abstract

The present paper summarises the work presented in several key studies over the past three decades in the area of limited lead selection. Specifically, we summarise the pioneering research of those investigators searching for the most ‘signal’ information and those searching for the most ‘diagnostic’ information. Initially, we present the work conducted by Barr et al. and later, Lux et al. who investigated body surface potential maps to locate those recording sites containing the most ‘signal’ information which, subsequently facilitated the estimation of the electrical potentials at all other areas of the thoracic surface. Subsequently, the discussion focuses on the early work conducted by Kornreich et al. which utilised statistical methods to identify those recording sites containing optimal measurement features to improve upon the identification of different disease types. In addition to the aforementioned work, an overview of more recent complementary work is summarised.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:363
Deposited By:Dr Mark Donnelly
Deposited On:27 Oct 2009 14:45
Last Modified:22 Jul 2011 11:42

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