The digital journey: 25 years of digital development in electrophysiology from an Europace perspective

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Abstract

Aims

Over the past 25 years there has been a substantial development in the field of digital electrophysiology (EP) and in parallel a substantial increase in publications on digital cardiology.

In this celebratory paper, we provide an overview of the digital field by highlighting publications from the field focusing on the EP Europace journal.

Results

In this journey across the past quarter of a century we follow the development of digital tools commonly used in the clinic spanning from the initiation of digital clinics through the early days of telemonitoring, to wearables, mobile applications, and the use of fully virtual clinics. We then provide a chronicle of the field of artificial intelligence, a regulatory perspective, and at the end of our journey provide a future outlook for digital EP.

Conclusion

Over the past 25 years Europace has published a substantial number of papers on digital EP, with a marked expansion in digital publications in recent years.

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Most cited references 155

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(2020)

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Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation

Marco V. Perez, Kenneth Mahaffey, Haley K Hedlin … (2019)

Optical sensors on wearable devices can detect irregular pulses. The ability of a smartwatch application (app) to identify atrial fibrillation during typical use is unknown.

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An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction

Zachi Attia, Peter A. Noseworthy, Francisco López-Jiménez … (2019)

Atrial fibrillation is frequently asymptomatic and thus underdetected but is associated with stroke, heart failure, and death. Existing screening methods require prolonged monitoring and are limited by cost and low yield. We aimed to develop a rapid, inexpensive, point-of-care means of identifying patients with atrial fibrillation using machine learning.

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Author and article information

Contributors

Emma Svennberg:

ORCID: https://orcid.org/0000-0002-6413-0870

Enrico G Caiani:

ORCID: https://orcid.org/0000-0002-1770-6486

Nico Bruining:

ORCID: https://orcid.org/0000-0002-0272-5617

Lien Desteghe:

ORCID: https://orcid.org/0000-0001-8641-4658

Janet K Han:

ORCID: https://orcid.org/0000-0003-2393-7018

Sanjiv M Narayan:

ORCID: https://orcid.org/0000-0001-7552-5053

Frank E Rademakers:

ORCID: https://orcid.org/0000-0002-7786-4179

Prashanthan Sanders:

ORCID: https://orcid.org/0000-0003-3803-8429

David Duncker:

ORCID: https://orcid.org/0000-0003-2996-6338

Journal

Journal ID (nlm-ta): Europace

Journal ID (iso-abbrev): Europace

Journal ID (publisher-id): europace

Title: Europace

Publisher: Oxford University Press (US )

ISSN (Print): 1099-5129

ISSN (Electronic): 1532-2092

Publication date Collection: August 2023

Publication date (Electronic): 25 August 2023

Publication date PMC-release: 25 August 2023

Volume: 25

Issue: 8

Electronic Location Identifier: euad176

Affiliations

Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital Huddinge , SE-141 86 Stockholm, Sweden

Politecnico di Milano, Electronic, Information and Biomedical Engineering Department , Milan, Italy

Istituto Auxologico Italiano IRCCS , Milan, Italy

Department of Clinical and Experimental Information processing (Digital Cardiology), Erasmus Medical Center, Thoraxcenter , Rotterdam, The Netherlands

Research Group Cardiovascular Diseases, University of Antwerp , 2000 Antwerp, Belgium

Department of Cardiology, Antwerp University Hospital , 2056 Edegem, Belgium

Faculty of Medicine and Life Sciences, Hasselt University , 3500 Hasselt, Belgium

Department of Cardiology, Heart Centre Hasselt , Jessa Hospital, 3500 Hasselt, Belgium

Division of Cardiology, Veterans Affairs Greater Los Angeles Healthcare System , Los Angeles, CA 90073, USA

Cardiac Arrhythmia Center, University of California Los Angeles , Los Angeles, CA, USA

Cardiology Division, Cardiovascular Institute and Institute for Computational and Mathematical Engineering, Stanford University , Stanford, CA, USA

Department of Cardiology, KU Leuven , 3000 Leuven, Belgium

Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital , 5005 Adelaide, Australia

Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School , Hannover, Germany

Author notes

Corresponding author. Tel: +46 73 958 48 22. E-mail address: emma.svennberg@ 123456regionstockholm.se

Conflict of interest: ES declares lecture fees from Bayer, Bristol-Myers Squibb-Pfizer, Boehringer- Ingelheim, Johnson & Johnson, Merck Sharp & Dohme PS is supported by an Investigator Grant from the National Health and Medical Research Council of Australia. Conflict of Interest Disclosures: PS reports having served on the advisory board of Boston Scientific, CathRx, Medtronic, Abbott Medical and Pacemate. PS reports that the University of Adelaide has received on his behalf lecture and/or consulting fees from Medtronic, Boston-Scientific, and Abbott Medical, Pacemate and CathRx. PS reports that the University of Adelaide has received on his behalf research funding from Medtronic, Abbott Medical, Boston-Scientific, Pacemate, Becton Dickinson and Microport. JH reports advisory board: iRhythm Technologies Consultant: Abbott Medical Lectureship fees: Medtronic & 91 Life/ScottCare EC, LD, FER.

Author information

Emma Svennberg https://orcid.org/0000-0002-6413-0870

Enrico G Caiani https://orcid.org/0000-0002-1770-6486

Nico Bruining https://orcid.org/0000-0002-0272-5617

Lien Desteghe https://orcid.org/0000-0001-8641-4658

Janet K Han https://orcid.org/0000-0003-2393-7018

Sanjiv M Narayan https://orcid.org/0000-0001-7552-5053

Frank E Rademakers https://orcid.org/0000-0002-7786-4179

Prashanthan Sanders https://orcid.org/0000-0003-3803-8429

David Duncker https://orcid.org/0000-0003-2996-6338

Article

Publisher ID: euad176

DOI: 10.1093/europace/euad176

PMC ID: 10450797

PubMed ID: 37622574

SO-VID: 44a854dc-01be-4c19-8d64-ba5b569888d0

License:

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

History

Date received : 01 June 2023

Date accepted : 03 June 2023

Page count

Pages: 10

Funding

Funded by: Swedish Heart and Lung foundation, DOI 10.13039/501100003793;

Funded by: CIMED, DOI 10.13039/501100018713;

Funded by: Swedish Research Council, DOI 10.13039/501100004359;

Award ID: 2022-01466

Funded by: National Health and Medical Research Council, DOI 10.13039/501100000925;

The digital journey: 25 years of digital development in electrophysiology from an Europace perspective

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Abstract

Aims

Results

Conclusion

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Karger: Digital Health

Most cited references 155

OUP accepted manuscript

Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation

An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction

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