Coefficients for the Derivation of Posterior and Right Sided Chest Leads from the 12-lead Electrocardiogram

Michael R. Jennings (Lead / Corresponding author), Ali S. Rababah, Pardis Biglarbeigi, Rob Brisk, Daniel Guldenring, Raymond Bond, James McLaughlin, Dewar D. Finlay

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

1 Citation (Scopus)

Abstract

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 leads V7-V12.

Conclusion: We have developed coefficients that allow the derivation of 10 additional leads from the 12-lead ECG.

Original languageEnglish
Title of host publication2020 Computing in Cardiology (CinC)
PublisherIEEE
Number of pages4
Volume47
ISBN (Electronic)9781728173825
ISBN (Print)9781728111056
DOIs
Publication statusPublished - 13 Sept 2020
EventCinC 2020: Computing in Cardiology - Rimini, Italy
Duration: 13 Sept 202016 Sept 2020

Publication series

Name
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Conference

ConferenceCinC 2020
Country/TerritoryItaly
CityRimini
Period13/09/2016/09/20

Keywords

  • Torso
  • Correlation coefficient
  • Electric potential
  • Linear regression
  • Electrocardiography
  • Myocardium
  • Lead

ASJC Scopus subject areas

  • General Computer Science
  • Cardiology and Cardiovascular Medicine

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