Coefficients for the Derivation of Posterior and Right Sided Chest Leads From the 12-lead Electrocardiogram
- Background: The 12-lead ECG is spatially limited in diagnosing cardiac abnormalities. Additional leads (right sided and posterior leads) are inconvenient in a clinical setting, however, they can be derived. In this paper we report on the development of coefficients to allow derivation of right sided and posterior leads. Method: Analysis was performed using body surface potential maps (BSPM) recorded from 910 patients in two centres. Recordings were made up of healthy controls (n=314), peak balloon inflation during elective percutaneous coronary angioplasty (n=88), myocardial infarction (n=271) and left-ventricular hypertrophy (n=237). All recordings were expanded to the 352-node Dalhousie torso. Coefficients to allow derivation of right sided and posterior leads were generated by linear regression. Further coefficients from a previously reported study were used for performance comparisons. Results: Correlation coefficients between recorded and derived leads were significantly improved using the new coefficients (p<0.05) in leadsBackground: The 12-lead ECG is spatially limited in diagnosing cardiac abnormalities. Additional leads (right sided and posterior leads) are inconvenient in a clinical setting, however, they can be derived. In this paper we report on the development of coefficients to allow derivation of right sided and posterior leads. Method: Analysis was performed using body surface potential maps (BSPM) recorded from 910 patients in two centres. Recordings were made up of healthy controls (n=314), peak balloon inflation during elective percutaneous coronary angioplasty (n=88), myocardial infarction (n=271) and left-ventricular hypertrophy (n=237). All recordings were expanded to the 352-node Dalhousie torso. Coefficients to allow derivation of right sided and posterior leads were generated by linear regression. Further coefficients from a previously reported study were used for performance comparisons. Results: Correlation coefficients between recorded and derived leads were significantly improved using the new coefficients (p<0.05) in leads V7-V12. Conclusion: We have developed coefficients that allow the derivation of 10 additional leads from the 12-lead ECG.…
Author: | Michael R. Jennings, Ali S. Rababah, Pardis Biglarbeigi, Rob Brisk, Daniel GüldenringORCiD, Raymond R. BondORCiD, James D. McLaughlinORCiD, Dewar D. FinlayORCiD |
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DOI: | https://doi.org/10.22489/CinC.2020.208 |
Identifier: | 9781728173825 OPAC HS OPAC extern |
Identifier: | 2325-887X OPAC HS OPAC extern |
Parent Title (English): | Computering in Cardiology 2020 |
Publisher: | IEEE |
Place of publication: | Piscataway |
Document Type: | conference proceeding (volume) |
Conference: | 2020 Computing in Cardiology (CinC) 13-16. Sept. 2020, Rimini, Italy |
Language: | English |
Date of Publication (online): | 2021/02/10 |
Year of first Publication: | 2020 |
Tag: | Biomedizinische Signalverarbeitung; EKG ECG |
Number of pages: | 4 Seiten |
First Page: | 1 |
Last Page: | 4 |
Institutes: | Fakultät Elektrotechnik |
Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften |
Publication Lists: | Güldenring, Daniel |
Publication reviewed: | begutachtet |
Licence (German): | Es gilt das deutsche Urheberrecht |
Release Date: | 2021/02/22 |