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 language | English |
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Title of host publication | 2020 Computing in Cardiology (CinC) |
Publisher | IEEE |
Number of pages | 4 |
Volume | 47 |
ISBN (Electronic) | 9781728173825 |
ISBN (Print) | 9781728111056 |
DOIs | |
Publication status | Published - 13 Sept 2020 |
Event | CinC 2020: Computing in Cardiology - Rimini, Italy Duration: 13 Sept 2020 → 16 Sept 2020 |
Publication series
Name | |
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ISSN (Print) | 2325-8861 |
ISSN (Electronic) | 2325-887X |
Conference
Conference | CinC 2020 |
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Country/Territory | Italy |
City | Rimini |
Period | 13/09/20 → 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