Literature DB >> 26620728

Eyewitness to history: Landmarks in the development of computerized electrocardiography.

Pentti M Rautaharju1.   

Abstract

The use of digital computers for ECG processing was pioneered in the early 1960s by two immigrants to the US, Hubert Pipberger, who initiated a collaborative VA project to collect an ECG-independent Frank lead data base, and Cesar Caceres at NIH who selected for his ECAN program standard 12-lead ECGs processed as single leads. Ray Bonner in the early 1970s placed his IBM 5880 program in a cart to print ECGs with interpretation, and computer-ECG programs were developed by Telemed, Marquette, HP-Philips and Mortara. The "Common Standards for quantitative Electrocardiography (CSE)" directed by Jos Willems evaluated nine ECG programs and eight cardiologists in clinically-defined categories. The total accuracy by a representative "average" cardiologist (75.5%) was 5.8% higher than that of the average program (69.7, p<0.001). Future comparisons of computer-based and expert reader performance are likely to show evolving results with continuing improvement of computer-ECG algorithms and changing expertise of ECG interpreters.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Classification accuracy; Computer ECG; ECG history; ECG readers

Mesh:

Year:  2015        PMID: 26620728     DOI: 10.1016/j.jelectrocard.2015.11.002

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


  8 in total

1.  Home use of a compact, 12‑lead ECG recording system for newborns.

Authors:  Henry J Lin; Yueh-Tze Lan; Michael J Silka; Nancy J Halnon; Eva Villa-Lopez; Nataly Arenas; Fabian Escobedo; Ryan Montoya; Sarah Valdez; Omid Rajabi Shishvan; Sandra Sedano; Emily H Marr; Marie Lauzon; A S Moosa; Kimberly J Ko; Elaine C Shoji; Alexandra M Clark; Lynne M Smith; John Michael Criley; Wayne W Grody; Yii-Der Ida Chen; Kent D Taylor; Xiuqing Guo; Tolga Soyata; Jerome I Rotter; Tingchou Chien; Pai Chou; Ruey-Kang Chang
Journal:  J Electrocardiol       Date:  2019-01-25       Impact factor: 1.438

2.  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

3.  Determining the clinical significance of computer interpreted electrocardiography conclusions.

Authors:  Daniel J Kersten; Kyla D'Angelo; Juana Vargas; Gagan Verma; Uzma Malik; Schlomo Shavolian; Roman Zeltser; Ofek Hai; Amgad N Makaryus
Journal:  Am J Cardiovasc Dis       Date:  2021-06-15

Review 4.  [Artificial intelligence-based ECG analysis: current status and future perspectives-Part 1 : Basic principles].

Authors:  Wilhelm Haverkamp; Nils Strodthoff; Carsten Israel
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2022-05-12

5.  WaSP-ECG: A Wave Segmentation Pretraining Toolkit for Electrocardiogram Analysis.

Authors:  Rob Brisk; Raymond R Bond; Dewar Finlay; James A D McLaughlin; Alicja J Piadlo; David J McEneaney
Journal:  Front Physiol       Date:  2022-03-17       Impact factor: 4.566

Review 6.  Golden Standard or Obsolete Method? Review of ECG Applications in Clinical and Experimental Context.

Authors:  Tibor Stracina; Marina Ronzhina; Richard Redina; Marie Novakova
Journal:  Front Physiol       Date:  2022-04-25       Impact factor: 4.755

7.  Reducing Delay to Treatment of ST-Elevation Myocardial Infarction With Software Electrocardiographic Interpretation and Transmission (SCINET).

Authors:  Justin M Cloutier; Christopher Hayes; John Ducas; David W Allen
Journal:  CJC Open       Date:  2020-02-15

8.  Investigating the effect of clinical history before electrocardiogram interpretation on the visual behavior and interpretation accuracy of clinicians.

Authors:  Alan Davies; Simon Harper; Markel Vigo; Caroline Jay
Journal:  Sci Rep       Date:  2019-08-05       Impact factor: 4.379

  8 in total

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