Literature DB >> 29031413

Experiences in digitizing and digitally measuring a paper-based ECG archive.

Arttu Holkeri1, Antti Eranti2, Tuomas V Kenttä3, Kai Noponen4, M Anette E Haukilahti3, Tapio Seppänen4, M Juhani Junttila3, Tuomas Kerola2, Harri Rissanen5, Markku Heliövaara5, Paul Knekt5, Aapo L Aro6, Heikki V Huikuri3.   

Abstract

BACKGROUND: No established method for digitizing and digital measuring of paper electrocardiograms (ECG) exists. We describe a paper ECG digitizing and digital measuring process, and report comparability to manual measurements.
METHODS: A paper ECG was recorded from 7203 health survey participants in 1978-1980. With specific software, the ECGs were digitized (ECG Trace Tool), and measured digitally (EASE). A sub-sample of 100 ECGs was selected for manual measurements.
RESULTS: The measurement methods showed good agreement. The mean global (EASE)-(manual) differences were 1.4ms (95% CI 0.5-2.2) for PR interval, -1.0ms (95% CI -1.5-[-0.5]) for QRS duration, and 11.6ms (95% CI 10.5-12.7) for QT interval. The mean inter-method amplitude differences of RampV5, RampV6, SampV1, TampII and TampV5 ranged from -0.03mV to 0.01mV.
CONCLUSIONS: The presented paper-to-digital conversion and digital measurement process is an accurate and reliable method, enabling efficient storing and analysis of paper ECGs.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Conversion; Digitization; Electrocardiography

Mesh:

Year:  2017        PMID: 29031413     DOI: 10.1016/j.jelectrocard.2017.09.007

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  8 in total

1.  High Precision Digitization of Paper-Based ECG Records: A Step Toward Machine Learning.

Authors:  Mohammed Baydoun; Lise Safatly; Ossama K Abou Hassan; Hassan Ghaziri; Ali El Hajj; Hussain Isma'eel
Journal:  IEEE J Transl Eng Health Med       Date:  2019-11-07       Impact factor: 3.316

Review 2.  Using the Apple Watch to Record Multiple-Lead Electrocardiograms in Detecting Myocardial Infarction: Where Are We Now?

Authors:  Ke Li; Abdelmotagaly Elgalad; Cristiano Cardoso; Emerson C Perin
Journal:  Tex Heart Inst J       Date:  2022-07-01

3.  Digitizing ECG image: A new method and open-source software code.

Authors:  Julian D Fortune; Natalie E Coppa; Kazi T Haq; Hetal Patel; Larisa G Tereshchenko
Journal:  Comput Methods Programs Biomed       Date:  2022-05-14       Impact factor: 7.027

4.  Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning.

Authors:  Mehmet Akif Ozdemir; Gizem Dilara Ozdemir; Onan Guren
Journal:  BMC Med Inform Decis Mak       Date:  2021-05-25       Impact factor: 2.796

5.  Risk Factors Associated With Atrioventricular Block.

Authors:  Tuomas Kerola; Antti Eranti; Aapo L Aro; M Anette Haukilahti; Arttu Holkeri; M Juhani Junttila; Tuomas V Kenttä; Harri Rissanen; Eric Vittinghoff; Paul Knekt; Markku Heliövaara; Heikki V Huikuri; Gregory M Marcus
Journal:  JAMA Netw Open       Date:  2019-05-03

6.  Q waves are the strongest electrocardiographic variable associated with primary prophylactic implantable cardioverter-defibrillator benefit: a prospective multicentre study.

Authors:  Ari Pelli; M Juhani Junttila; Tuomas V Kenttä; Simon Schlögl; Markus Zabel; Marek Malik; Tobias Reichlin; Rik Willems; Marc A Vos; Markus Harden; Tim Friede; Christian Sticherling; Heikki V Huikuri
Journal:  Europace       Date:  2022-05-03       Impact factor: 5.486

7.  ECG T-Wave Morphologic Variations Predict Ventricular Arrhythmic Risk in Low- and Moderate-Risk Populations.

Authors:  Julia Ramírez; Antti Kiviniemi; Stefan van Duijvenboden; Andrew Tinker; Pier D Lambiase; Juhani Junttila; Juha S Perkiömäki; Heikki V Huikuri; Michele Orini; Patricia B Munroe
Journal:  J Am Heart Assoc       Date:  2022-08-29       Impact factor: 6.106

8.  Combining Optical Character Recognition With Paper ECG Digitization.

Authors:  Shambavi Ganesh; Pamela T Bhatti; Mhmtjamil Alkhalaf; Shishir Gupta; Amit J Shah; Srini Tridandapani
Journal:  IEEE J Transl Eng Health Med       Date:  2021-05-25       Impact factor: 3.316

  8 in total

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