ECGrecover: A Deep Learning Approach for Electrocardiogram Signal Completion

Authors

Federica Granese (ORCID: https://orcid.org/0000-0002-0084-521X)
Blaise Hanczar (ORCID: https://orcid.org/0000-0002-5606-8296)
Edi Prifti (ORCID: https://orcid.org/0000-0001-8861-1305)
Ahmad Fall (ORCID: https://orcid.org/0000-0003-4312-3564)
Joe‐Elie Salem (ORCID: https://orcid.org/0000-0002-0331-3307)
Jean‐Daniel Zucker (ORCID: https://orcid.org/0000-0002-5597-7922)
Alex Lence (ORCID: https://orcid.org/0000-0002-5758-6220)

Institutions

Inserm (FR)
Sorbonne Université (FR)
Nutrition et obésité : approches systémiques (FR)
Assistance Publique – Hôpitaux de Paris (FR)
Informatique, BioInformatique, Systèmes Complexes (FR)
Unité de Modélisation Mathématique et Informatique des Systèmes Complexes (FR)
Institut de Recherche pour le Développement (FR)
Groupe de REcherche en Cardio Oncologie (FR)
Vanderbilt University Medical Center (US)

Publication Details

Published: 2025-04-04
DOI: https://doi.org/10.1145/3690624.3709405
Citations: 6
Primary Topic: ECG Monitoring and Analysis
Type: article
Field-Weighted Citation Impact: 8.33

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article

ECGrecover: A Deep Learning Approach for Electrocardiogram Signal Completion

Federica Granese, Blaise Hanczar, Edi Prifti, Ahmad Fall et al.

Apr 4, 2025

6 citations

ECG Monitoring and Analysis

8.33

article

ECGrecover: A Deep Learning Approach for Electrocardiogram Signal Completion

Federica Granese, Blaise Hanczar, Edi Prifti, Ahmad Fall, Joe‐Elie Salem, Jean‐Daniel Zucker, Alex Lence

April 4, 2025article en

6 citations

Abstract

No abstract available for this paper.

Inserm (FR), Sorbonne Université (FR), Nutrition et obésité : approches systémiques (FR), Assistance Publique – Hôpitaux de Paris (FR), Informatique, BioInformatique, Systèmes Complexes (FR), Unité de Modélisation Mathématique et Informatique des Systèmes Complexes (FR), Institut de Recherche pour le Développement (FR), Groupe de REcherche en Cardio Oncologie (FR), Vanderbilt University Medical Center (US)

Openalex Percentile: Top 2%

ECG Monitoring and Analysis

8.33

DOI Source OpenAlex

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