Literature DB >> 3694105

Testing the performance of ECG computer programs: the CSE diagnostic pilot study.

J L Willems1, C Abreu-Lima, P Arnaud, J H van Bemmel, C Brohet, R Degani, B Denis, I Graham, G van Herpen, P W Macfarlane.   

Abstract

In an international project investigators from 21 institutes are trying to establish a common reference library and evaluation methods for testing the diagnostic performance of various ECG computer programs using ECG independent clinical information. Preliminary results indicate that the classification accuracy of different programs varies widely.

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Year:  1987        PMID: 3694105

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


  2 in total

1.  Evaluation of pediatric electrocardiogram diagnosis of ventricular hypertrophy by computer program compared with cardiologists.

Authors:  R M Hamilton; A B Houston; K McLeod; P W Macfarlane
Journal:  Pediatr Cardiol       Date:  2005 Jul-Aug       Impact factor: 1.655

2.  Automatic diagnosis of the 12-lead ECG using a deep neural network.

Authors:  Antônio H Ribeiro; Manoel Horta Ribeiro; Gabriela M M Paixão; Derick M Oliveira; Paulo R Gomes; Jéssica A Canazart; Milton P S Ferreira; Carl R Andersson; Peter W Macfarlane; Wagner Meira; Thomas B Schön; Antonio Luiz P Ribeiro
Journal:  Nat Commun       Date:  2020-04-09       Impact factor: 14.919

  2 in total

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