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Computer-based implementation of the ST-segment/heart rate slope.

P M Okin1, P Kligfield

  • 1Department of Medicine, New York Hospital-Cornell Medical Center, New York.

The American Journal of Cardiology
|October 15, 1989
PubMed
Summary
This summary is machine-generated.

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Computerized ST/HR slope analysis accurately quantifies coronary artery disease, overcoming manual measurement limitations. This automated method enhances exercise electrocardiogram interpretation for improved clinical decision-making.

Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Medical Diagnostics

Background:

  • The ST-segment/heart rate (ST/HR) slope is a valuable tool for identifying and quantifying coronary artery disease (CAD) using exercise electrocardiograms.
  • Clinical application of the ST/HR slope has been hindered by manual ST-segment measurements and post-exercise linear regression analysis, which are time-consuming.
  • Advancements in digital signal processing and algorithmic development offer potential for automated ST/HR slope calculation.

Purpose of the Study:

  • To evaluate the accuracy of on-line computerized ST-segment depression measurements and ST/HR slope algorithms.
  • To compare automated ST/HR slope calculations with traditional manual methods in a clinical setting.
  • To assess the reliability of Marquette Electronics CASE 12 and Quinton Q5000 systems for ST/HR slope analysis.

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Main Methods:

  • Fifty patients underwent exercise testing on a Marquette CASE 12 system, and 50 on a Quinton Q5000 system.
  • Computerized ST-segment measurements were compared to manual measurements at peak exercise in leads II and CM5.
  • On-line ST/HR slope algorithms were compared against standard off-line calculations using end-stage data points.

Main Results:

  • Computerized ST-segment measurements showed high correlation with manual measurements (r = 0.996–0.998).
  • Regression line slopes closely approximated unity (0.98–1.02), with low standard errors of the estimate (12–15 microV).
  • Both on-line systems accurately selected data points and calculated maximal ST/HR slopes consistent with standard procedures.

Conclusions:

  • On-line computerized measurement of the ST/HR slope demonstrates high accuracy.
  • Automated ST/HR slope algorithms effectively replicate standard off-line calculations.
  • Computer-based analysis offers a reliable and efficient alternative for ST/HR slope assessment in clinical practice.