12-Lead ECG Reconstruction via Combinatoric Inclusion of Fewer Standard ECG Leads with Implications for Lead Information and Significance

Utkars Jain, Adam A. Butchy, Michael T. Leasure, Veronica A. Covalesky, Veronica A. Covalesky, Daniel Mccormick, Daniel Mccormick, Gary S. Mintz

2022

Abstract

The electrocardiogram (ECG) is the most widely used, non-invasive, cardiovascular test. There exist many lead variations including a one, three, six, and 12-lead device. In this work, we use ECGio, a validated deep learning model for the assessment of coronary artery disease, to reconstruct ECG signals with various combinations of leads, ranging from a single lead, to the full 12-leads. We are able to show 0.6536 R2, and 0.0747 mean absolute error (MAE) in the accurate reconstruction of a full 12-lead signal from just lead II. We go one step further and look at which individual leads, and in what combinations, yield the most accurate reconstructions as measured by R2 and MAE. As you would expect, the larger the quantity of leads included, the more accurate the reconstruction. Overall, the mean performance across all possible lead combinations is 0.8335 R2, and 0.0538 MAE. This work opens the door for seeing if ECGio can handle systematic noise injection and missing or misplaced leads.

Paper Citation

in Harvard Style

Jain U., Butchy A., Leasure M., Covalesky V., Mccormick D. and Mintz G. (2022). 12-Lead ECG Reconstruction via Combinatoric Inclusion of Fewer Standard ECG Leads with Implications for Lead Information and Significance. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 4: BIOSIGNALS; ISBN 978-989-758-552-4, SciTePress, pages 133-141. DOI: 10.5220/0010788600003123

in Bibtex Style

@conference{biosignals22,
author={Utkars Jain and Adam A. Butchy and Michael T. Leasure and Veronica A. Covalesky and Daniel Mccormick and Gary S. Mintz},
title={12-Lead ECG Reconstruction via Combinatoric Inclusion of Fewer Standard ECG Leads with Implications for Lead Information and Significance},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 4: BIOSIGNALS},
year={2022},
pages={133-141},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010788600003123},
isbn={978-989-758-552-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 4: BIOSIGNALS
TI - 12-Lead ECG Reconstruction via Combinatoric Inclusion of Fewer Standard ECG Leads with Implications for Lead Information and Significance
SN - 978-989-758-552-4
AU - Jain U.
AU - Butchy A.
AU - Leasure M.
AU - Covalesky V.
AU - Mccormick D.
AU - Mintz G.
PY - 2022
SP - 133
EP - 141
DO - 10.5220/0010788600003123
PB - SciTePress