ECG printout interpretation system for clinical decision support

Ekaterina Snegireva, Grigory R. Khazankin, Igor Mikheenko

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

Nowadays, analog electrocardiographs that deliver only paper printout are ubiquitous in medical institutions. Doctors do visual analysis of electrocardiograms (ECG), occasionally using measurement tools. This article reviews approaches to automatic analysis of electrocardiogram images, including the signal conversion from paper to digital format. The following methods are presented: digitizing graphs from images, determination of signal nodes, and preparation of final report. Various methods of computer vision were tested on electrocardiogram images in order to highlight the graph and transfer coordinates to millimeters. Their limitations are identified and described. Based on the evaluation, a suitable electrocardiogram analysis method has been developed. It includes color filtering of the background grid. Methods of signal analysis and reading of indicators, and their further analysis, are also given. The text conclusion is based on decision trees traversal. As a result, the architecture of measuring system software for electrocardiogram analysis was developed. The system is described considering that the electrocardiogram evaluation unit does not depend on external implementation and can be reused in other systems performing electrocardiogram analysis.

Original languageEnglish
Title of host publicationProceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages19-22
Number of pages4
ISBN (Electronic)9781728195971
DOIs
Publication statusPublished - Jul 2020
Event2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020 - Novosibirsk, Russian Federation
Duration: 6 Jul 202010 Jul 2020

Publication series

NameProceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020

Conference

Conference2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020
CountryRussian Federation
CityNovosibirsk
Period06.07.202010.07.2020

Keywords

  • biomedical signals analysis
  • computer vision
  • electrocardiogram
  • electrocardiography
  • graphic filters
  • image filtering
  • image processing theory
  • measuring system
  • pattern recognition

OECD FOS+WOS

  • 1.02 COMPUTER AND INFORMATION SCIENCES
  • 1.06 BIOLOGICAL SCIENCES
  • 3.01 BASIC MEDICAL RESEARCH
  • 3.03 HEALTH SCIENCES
  • 5.09 OTHER SOCIAL SCIENCES

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