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Beat-to-beat electrocardiographic morphology variation in healed myocardial infarction

S A Ben-Haim1, B Becker, Y Edoute

  • 1Cardiovascular Research Group, Rappaport Family Institute for Research in the Medical Sciences, Technion-Israel Institute of Technology, Haifa, Israel.

Insights

Electrocardiogram (ECG) analysis reveals subtle variations in patients with myocardial infarction. These ECG morphologic variations may serve as future indicators of heart injury and electrical stability.

Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Signal Processing

Background:

  • Myocardial infarction (MI) can lead to chronic myocardial ischemia and conduction abnormalities.
  • Subtle electrocardiographic (ECG) variations may reflect underlying myocardial electrical instability.
  • Quantifying these variations could provide new insights into post-MI cardiac health.

Purpose of the Study:

  • To investigate beat-to-beat ECG morphologic variations in patients with healed Q-wave myocardial infarction compared to healthy controls.
  • To explore the potential of these variations as quantitative indexes of myocardial injury and electrical stability.

Main Methods:

  • High-fidelity ECG amplifiers were used to record ECGs from 49 men with healed Q-wave MI and 30 age-matched healthy men.
  • Forty consecutive beats were averaged to obtain a stable ECG signal for variance calculation.
  • Relative variance was computed in two frequency bands (4-40 Hz and 60-120 Hz) at QRS onset and offset.

Main Results:

  • Patients with healed MI showed significantly lower relative variance at QRS offset in the low-frequency band (2.1 ± 0.5 vs. 2.5 ± 0.33, p < 0.02).
  • Conversely, patients with healed MI exhibited significantly higher relative variance at QRS onset in the high-frequency band (1.95 ± 0.58 vs. 1.55 ± 0.35, p < 0.005).
  • These findings suggest distinct patterns of electrical variability post-MI.

Conclusions:

  • Changes in ECG variance at QRS onset and offset correlate with myocardial infarction.
  • A model involving minor conduction abnormalities in chronically ischemic myocardium explains these observed variance changes.
  • ECG variance analysis holds promise as a quantitative tool for assessing myocardial injury and electrical stability in ischemic heart disease.

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