Automatic digitization of paper electrocardiograms – A systematic review
Alex Lence
(1)
,
Fabrice Extramiana
(2)
,
Ahmad Fall
(1)
,
Joe-Elie Salem
(3, 4, 5)
,
Jean-Daniel Zucker
(1)
,
Edi Prifti
(1, 6)
1
UMMISCO -
Unité de modélisation mathématique et informatique des systèmes complexes [Bondy]
2 AP-HP - Hôpital Bichat - Claude Bernard [Paris]
3 CHU Pitié-Salpêtrière [AP-HP]
4 CIC Paris-Est - Centre d'investigation clinique Paris Est [CHU Pitié Salpêtrière]
5 GRC 27 - GRECO - Groupe de REcherche en Cardio Oncologie
6 Nutriomics - Nutrition et obésités: approches systémiques (UMR-S 1269)
2 AP-HP - Hôpital Bichat - Claude Bernard [Paris]
3 CHU Pitié-Salpêtrière [AP-HP]
4 CIC Paris-Est - Centre d'investigation clinique Paris Est [CHU Pitié Salpêtrière]
5 GRC 27 - GRECO - Groupe de REcherche en Cardio Oncologie
6 Nutriomics - Nutrition et obésités: approches systémiques (UMR-S 1269)
Alex Lence
- Fonction : Auteur
- PersonId : 1289362
Ahmad Fall
- Fonction : Auteur
- PersonId : 818165
- ORCID : 0000-0003-4312-3564
- IdRef : 275895335
Jean-Daniel Zucker
- Fonction : Auteur
- PersonId : 9387
- IdHAL : jean-daniel-zucker
- ORCID : 0000-0002-5597-7922
- IdRef : 070019495
Edi Prifti
- Fonction : Auteur
- PersonId : 1151183
- IdHAL : edi-prifti
- ORCID : 0000-0001-8861-1305
- IdRef : 155572822
Résumé
The digitization of electrocardiogram paper records is an essential step to preserve and analyze cardiac data. This digitization process is not flawless as it involves several challenges, such as skew correction, binarization, and signal extraction. Various approaches have been proposed to address these challenges and recent studies have introduced innovative solutions, such as deep learning models and automation processes. Although existing approaches have shown promising results, there is a lack of common databases and metrics where authors could evaluate and compare their methods. Furthermore, the limited accessibility of code or software hinders the comparison process. Overall, while digitization of paper ECG recordings is important in advancing cardiology research, additional efforts are needed to standardize the evaluation process while improving code accessibility. This article provides a systematic review of this process.
Format du dépôt | Fichier |
---|---|
Type de dépôt | Article dans une revue |
Titre |
en
Automatic digitization of paper electrocardiograms – A systematic review
|
Résumé |
en
The digitization of electrocardiogram paper records is an essential step to preserve and analyze cardiac data. This digitization process is not flawless as it involves several challenges, such as skew correction, binarization, and signal extraction. Various approaches have been proposed to address these challenges and recent studies have introduced innovative solutions, such as deep learning models and automation processes. Although existing approaches have shown promising results, there is a lack of common databases and metrics where authors could evaluate and compare their methods. Furthermore, the limited accessibility of code or software hinders the comparison process. Overall, while digitization of paper ECG recordings is important in advancing cardiology research, additional efforts are needed to standardize the evaluation process while improving code accessibility. This article provides a systematic review of this process.
|
Auteur(s) |
Alex Lence
1
, Fabrice Extramiana
2
, Ahmad Fall
1
, Joe-Elie Salem
3, 4, 5
, Jean-Daniel Zucker
1
, Edi Prifti
1, 6
1
UMMISCO -
Unité de modélisation mathématique et informatique des systèmes complexes [Bondy]
( 541946 )
- IRD France Nord - 32 avenue Henri Varagnat - 93143 Bondy cedex
- France
2
AP-HP - Hôpital Bichat - Claude Bernard [Paris]
( 300156 )
- 46 Rue Henri Huchard, 75018 Paris
- France
3
CHU Pitié-Salpêtrière [AP-HP]
( 353778 )
- 47-83 Boulevard de l'Hôpital, 75013 Paris
- France
4
CIC Paris-Est -
Centre d'investigation clinique Paris Est [CHU Pitié Salpêtrière]
( 457063 )
- Bâtiment Antonin Gosset
47-83, boulevard de l'Hôpital
75651 PARIS Cedex 13
- France
5
GRC 27 - GRECO -
Groupe de REcherche en Cardio Oncologie
( 1079139 )
- Hôpital Saint-Antoine
27 rue Chaligny
75012 Paris
- France
6
Nutriomics -
Nutrition et obésités: approches systémiques (UMR-S 1269)
( 1002956 )
- France
|
Langue du document |
Anglais
|
Nom de la revue |
|
Date de publication |
2023-09
|
Volume |
80
|
Page/Identifiant |
125-132
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Audience |
Internationale
|
Domaine(s) |
|
Projet(s) ANR |
|
Mots-clés |
en
electrocardiogram ECG digitization, electrocardiogram, ECG, digitization
|
DOI | 10.1016/j.jelectrocard.2023.05.009 |
Base Horizon | fdi:010088280 |
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