• search hit 15 of 26
Back to Result List

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.show moreshow less

Export metadata

Additional Services

Search Google Scholar
Metadaten
Author:Michael R. Jennings, Ali S. Rababah, Pardis Biglarbeigi, Rob Brisk, Daniel GüldenringORCiD, Raymond R. BondORCiD, James D. McLaughlinORCiD, Dewar D. FinlayORCiD
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
Verstanden ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.