Application of computerized exercise ECG digitization. Interpretation in large clinical trials

  • Dennis G. Caralis
  • , Leslee Shaw
  • , Brian Bilgere
  • , Liwa Younis
  • , Karen Stocke
  • , Robert D. Wiens
  • , Bernard R. Chaitman

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

The authors report on a semiautomated program that incorporates both visual identification of fiducial points and digital determination of the ST-segment at 60 ms and 80 ms from the J point, ST slope, changes in R wave, and baseline drift. The off-line program can enhance the accuracy of detecting electrocardiographic (ECG) changes, as well as reproducibility of the exercise and postexercise ECG, as a marker of myocardial ischemia. The analysis program is written in Microsoft QuickBASIC 2.0 for an IBM personal computer interfaced to a Summagraphics mm1201 microgrid II digitizer. The program consists of the following components: (1) alphanumeric data entry, (2) ECG wave form digitization, (2) calculation of test results, (4) physician overread, and (5) editor function for remeasurements. This computerized exercise ECG digitization-interpretation program is accurate and reproducible for the quantitative assessment of ST changes and requires minimal time allotment for physician overread. The program is suitable for analysis and interpretation of large volumes of exercise tests in multicenter clinical trials and is currently utilized in the TIMI II, TIMI III, and BARI studies sponsored by the National Institutes of Health.

Original languageEnglish
Pages (from-to)101-110
Number of pages10
JournalJournal of Electrocardiology
Volume25
Issue number2
DOIs
StatePublished - Apr 1992
Externally publishedYes

Keywords

  • computer ECG analysis
  • exercise electrocardiography
  • exercise testing

Fingerprint

Dive into the research topics of 'Application of computerized exercise ECG digitization. Interpretation in large clinical trials'. Together they form a unique fingerprint.

Cite this