Literature DB >> 27658690

Digitizing paper electrocardiograms: Status and challenges.

George S Waits1, Elsayed Z Soliman2.   

Abstract

The paper electrocardiogram (ECG) has been widely used for cardiac assessment for well over a century. ECGs can be obtained quickly and cheaply. For this reason, an ever-growing amount of paper ECG records continue to accumulate, some of which are stored into a paper-only format. Converting paper ECGs into digital form has been proposed as the most efficient means to store and analyze an otherwise cumbersome paper archive. In this article, a literature review was conducted for conversion algorithms, criticisms of said algorithms, applications, and standardization efforts. The algorithms were compared in tabulated form. Key functions that have advanced the conversion algorithms as well as remaining challenges are discussed.
Copyright © 2016 Elsevier Inc. All rights reserved.

Keywords:  Conversion; Digitization; Electrocardiogram

Mesh:

Year:  2016        PMID: 27658690     DOI: 10.1016/j.jelectrocard.2016.09.007

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


  5 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

2.  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

3.  Artificial intelligence to detect abnormal heart rhythm from scanned electrocardiogram tracings.

Authors:  Joshua Bridge; Lu Fu; Weidong Lin; Yumei Xue; Gregory Y H Lip; Yalin Zheng
Journal:  J Arrhythm       Date:  2022-03-29

4.  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

5.  ECG Paper Record Digitization and Diagnosis Using Deep Learning.

Authors:  Siddharth Mishra; Gaurav Khatwani; Rupali Patil; Darshan Sapariya; Vruddhi Shah; Darsh Parmar; Sharath Dinesh; Prathamesh Daphal; Ninad Mehendale
Journal:  J Med Biol Eng       Date:  2021-06-15       Impact factor: 1.553

  5 in total

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