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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Finlay, D.D. Nugent, C.D. Donnelly, M.P. Nelwan, S.P. |
| Copyright Year | 2008 |
| Description | Author affiliation: Erasmus Med. Centre, Rotterdam (Nelwan, S.P.) || Univeristy of Ulster, Belfast (Finlay, D.D.; Nugent, C.D.; Donnelly, M.P.) |
| 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. Eigenvectors 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 muV 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 muV 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. |
| Starting Page | 361 |
| Ending Page | 364 |
| File Size | 195437 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424437061 |
| ISSN | 02766547 |
| DOI | 10.1109/CIC.2008.4749053 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-09-14 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Computers in Cardiology(CinC) |
| Subject Keyword | Electrocardiography Surface reconstruction Electrodes Testing Thorax Myocardium Cardiology Data analysis |
| Content Type | Text |
| Resource Type | Article |
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