U-Net Guided Digitization of 12-Lead Printed ECGs

Team Berru's Widows presents a solution for the Digitization of ECG Images in The George B. Moody Physionet Challenge 2024.Although we were not ranked on the official test data, our approach integrates traditional image processing techniques with deep learning methods, which we consider relevant for the state of the art.Our pipeline consisted on a preprocessing stage, then a single lead isolation process and the conversion from image to signal.The preprocessing included shadow removal, using classic computer vision methods, and segmentation using a U-Net.The other stages included single lead isolation and signal digitization.

Authors

Publication Details

Journal
Computing in cardiology
Published
2024-12-01
DOI
https://doi.org/10.22489/cinc.2024.265
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
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article

U-Net Guided Digitization of 12-Lead Printed ECGs

Andrea Saglietto, Etelvino Silva, Óscar Cámara, Álvaro José Bocanegra
Computing in cardiology
ECG Monitoring and Analysis
article

U-Net Guided Digitization of 12-Lead Printed ECGs

Andrea Saglietto, Etelvino Silva, Óscar Cámara, Álvaro José Bocanegra
article en

Abstract

Team Berru's Widows presents a solution for the Digitization of ECG Images in The George B. Moody Physionet Challenge 2024.Although we were not ranked on the official test data, our approach integrates traditional image processing techniques with deep learning methods, which we consider relevant for the state of the art.Our pipeline consisted on a preprocessing stage, then a single lead isolation process and the conversion from image to signal.The preprocessing included shadow removal, using classic computer vision methods, and segmentation using a U-Net.The other stages included single lead isolation and signal digitization.

Computing in cardiologyVol. 51
Openalex Percentile: Top 57%
ECG Monitoring and Analysis
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U-Net Guided Digitization of 12-Lead Printed ECGs — Andrea Saglietto, Etelvino Silva, et al. · Computing in cardiology (2024) | TGRS Research Map | TGRS