Long-term, ambulatory 12-lead ECG from a single non-standard lead using perceptual reconstruction.

ABSTRACT:

Background

Despite its broadening indications, the implantable cardiac monitor (ICM) records a narrow, nonstandard electrocardiogram (ECG) signal which precludes morphological and functional assessments or the application of 12-lead ECG models. We hypothesize that deep learning can be used to reconstruct 12-lead ECG from a single ICM lead for continuously assessing clinical endpoints outside of rhythm detection alone.

Objective

To reconstruct 12-lead ECG from a single ICM lead to detect conduction, repolarization, rhythm, and cardiac functional changes in a large, diverse patient population.

Methods

We annotated 75,450 echocardiogram-ECG pairs with five disease labels a) right bundle branch block, b) left bundle branch block, c) atrial fibrillation, d) QT-prolongation

SUBMITTER: Bandyopadhyay S 

PROVIDER: S-EPMC12724160 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature