Evaluating rest ECG amplitude changes using the ECG variability contour method

Guy Dori, M. Gershinsky, S. Ben-Haim, B. S. Lewis, H. Bitterman

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

Abstract

The "ECG variability contour" (EVC) method was studied with real life rest ECG. Three 1-min long, 12-lead, rest ECG formed the data sets. Mean ECG complex was calculated for each data set, and subtracted from it and the other 2 data sets, forming 9 residue matrices. Residue matrix variables were: (1) EVC reflecting ECG variability (2) normalized cumulative sum (NCS) reflecting consistent amplitude changes, and (3) the number of points of the NCS lying outside EVC, which defined a significant ECG change. 1052 ECG leads (92 examinees) were analyzed. In 73% of leads the temporal distance between the data set and the subtracted mean ECG had an effect. <1 point (0.5%) of the NCS was located outside the EVC. Using the EVC method, it was demonstrated that consistent ECG amplitude changes may be accurately localized to the corresponding ECG component, and these changes were rare at rest.

Original languageEnglish
Title of host publicationComputers in Cardiology 2009, CinC 2009
Pages837-840
Number of pages4
StatePublished - 2009
Externally publishedYes
Event36th Annual Conference of Computers in Cardiology, CinC 2009 - Park City, UT, United States
Duration: 13 Sep 200916 Sep 2009

Publication series

NameComputers in Cardiology
Volume36
ISSN (Print)0276-6574

Conference

Conference36th Annual Conference of Computers in Cardiology, CinC 2009
Country/TerritoryUnited States
CityPark City, UT
Period13/09/0916/09/09

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine

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