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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 proceeding › Conference contribution

    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 2020 → 16 Sept 2020

    Publication series

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

    Conference

    ConferenceCinC 2020
    Country/TerritoryItaly
    CityRimini
    Period13/09/20 → 16/09/20

    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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