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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages4
Publication statusPublished - 17 Sep 2008
EventComputers in Cardiology - Bologna, Italy
Duration: 17 Sep 2008 → …

Conference

ConferenceComputers in Cardiology
Period17/09/08 → …

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@inproceedings{6f68867ace5448339648cfbe5d2d5cb8,
title = "Eigen-Vector Based Leads for Reconstruction of the 12-Lead Electrocardiogram",
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.",
author = "D Finlay and CD Nugent and Mark Donnelly and Stefan Nelwan",
year = "2008",
month = "9",
day = "17",
language = "English",
booktitle = "Unknown Host Publication",

}

Finlay, D, Nugent, CD, Donnelly, M & Nelwan, S 2008, Eigen-Vector Based Leads for Reconstruction of the 12-Lead Electrocardiogram. in Unknown Host Publication. Computers in Cardiology, 17/09/08.

Eigen-Vector Based Leads for Reconstruction of the 12-Lead Electrocardiogram. / Finlay, D; Nugent, CD; Donnelly, Mark; Nelwan, Stefan.

Unknown Host Publication. 2008.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Eigen-Vector Based Leads for Reconstruction of the 12-Lead Electrocardiogram

AU - Finlay, D

AU - Nugent, CD

AU - Donnelly, Mark

AU - Nelwan, Stefan

PY - 2008/9/17

Y1 - 2008/9/17

N2 - 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.

AB - 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.

M3 - Conference contribution

BT - Unknown Host Publication

ER -