Computational Reconstruction of Electrocardiogram Lead Placement

Alexander D. Wissner-Gress; Suraj Kapa; James Lee; Desmond B. Keenan; Natasha Drapeau; Kenneth Londoner

doi:10.22489/CinC.2020.287

Computational Reconstruction of Electrocardiogram Lead Placement

Alexander D. Wissner-Gress, Suraj Kapa, James Lee, Desmond B. Keenan, Natasha Drapeau, Kenneth Londoner

Cardiovascular Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We present a method for computationally reconstructing the spatial placement of electrocardiogram (ECG) leads using only correlations between their recorded signals and without requiring external calibration or other prior knowledge. We then apply our method to 12-lead ECGs obtained from the training dataset of the PhysioNet 2020 Challenge and examine the association of various cardiac abnormalities with the reconstructed geometries. Finally, we review potential clinical applications of our method, including automated recommendation of optimal lead placement, simplified visual summarization of ECG recordings, and improved automated classification of patient conditions.

Original language	English (US)
Title of host publication	2020 Computing in Cardiology, CinC 2020
Publisher	IEEE Computer Society
ISBN (Electronic)	9781728173825
DOIs	https://doi.org/10.22489/CinC.2020.287
State	Published - Sep 13 2020
Event	2020 Computing in Cardiology, CinC 2020 - Rimini, Italy Duration: Sep 13 2020 → Sep 16 2020

Publication series

Name	Computing in Cardiology
Volume	2020-September
ISSN (Print)	2325-8861
ISSN (Electronic)	2325-887X

Conference

Conference	2020 Computing in Cardiology, CinC 2020
Country/Territory	Italy
City	Rimini
Period	9/13/20 → 9/16/20

ASJC Scopus subject areas

General Computer Science
Cardiology and Cardiovascular Medicine

Access to Document

10.22489/CinC.2020.287

Cite this

Wissner-Gress, AD, Kapa, S, Lee, J, Keenan, DB, Drapeau, N & Londoner, K 2020, Computational Reconstruction of Electrocardiogram Lead Placement. in 2020 Computing in Cardiology, CinC 2020., 9344425, Computing in Cardiology, vol. 2020-September, IEEE Computer Society, 2020 Computing in Cardiology, CinC 2020, Rimini, Italy, 9/13/20. https://doi.org/10.22489/CinC.2020.287

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AU - Londoner, Kenneth

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Computational Reconstruction of Electrocardiogram Lead Placement

Abstract

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