Ulster University Logo

Ulster Institutional Repository

Eigen-Vector Based Leads for Reconstruction of the 12-Lead Electrocardiogram

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

Finlay, D, Nugent, CD, Donnelly, Mark and Nelwan, Stefan (2008) Eigen-Vector Based Leads for Reconstruction of the 12-Lead Electrocardiogram. In: Computers in Cardiology, Bologna, Italy. IEEE. 4 pp. [Conference contribution]

Full text not available from this repository.

Abstract

In this study we have developed a limited lead system to allow reconstruction of the 12-lead ECG. This has been based upon the analysis of eigen-vectors calculated from body surface potential map (BSPM) data. Eigen- vectors were calculated from a set of 117 lead BSPMs (normal = 172, LVH = 178, MI = 209). The extrema of the first three eigen-vectors were used to determine the positions of recording sites for three bipolar leads. These three bipolar leads were then used to reconstruct 12-lead ECGs recorded from an unseen group of subjects (normal = 57, LVH = 59, MI = 69). It was found that the suggested leads could reconstruct the 12-lead ECG with a median RMS error of 57.0 μV and a correlation coefficient of 0.968. This was in comparison to the EASI leads, which, when tested on the same data, produced a median RMS error of 60.1 μV and a correlation coefficient of 0.955. Following comparison on a lead-by- lead basis the eigen-vector based leads were found to perform particularly well in the reconstruction of the precordial leads V1-V5. Further work is required to refine and to determine the practical utility of the proposed leads in practice.

Item Type:Conference contribution (Paper)
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 > Smart Environments
ID Code:17250
Deposited By:Dr Mark Donnelly
Deposited On:30 Mar 2011 16:36
Last Modified:30 Mar 2011 16:36

Repository Staff Only: item control page