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Related Experiment Video

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Echocardiographic Characterization of Left Ventricular Structure, Function, and Coronary Flow in Neonate Mice
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ECG parameters to predict left ventricular electrical delay.

Maria P Bonomini1, Daniel F Ortega2, Luis D Barja2

  • 1Instituto de Ingeniería Biomédica, Facultad de Ingeniería, Universidad de Buenos Aires, Argentina; Instituto Argentino de Matemática, 'Alberto P. Calderón' CONICET, Buenos Aires, Argentina.

Journal of Electrocardiology
|September 5, 2018
PubMed
Summary

A novel ECG model noninvasively predicts left ventricular electrical delay (LVED) by analyzing interlead changes. This advancement offers insights into electrical conduction within the left ventricle.

Keywords:
ECGIntraventricular dyssynchronyLeft Ventricular Electrical DelayNonselective His Bundle pacing

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Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Electrocardiography

Background:

  • Left ventricular (LV) dyssynchrony is linked to prolonged left ventricular electrical delay (LVED).
  • Accurate, noninvasive measurement of LVED is crucial for understanding cardiac electrical activity.

Purpose of the Study:

  • To develop and validate a noninvasive electrocardiogram (ECG) model for predicting LVED.
  • To explore the relationship between ECG characteristics and LVED in patients.

Main Methods:

  • A nonselective His bundle pacing (nHBP) protocol was used to induce controlled changes in LVED within patients.
  • Crosscorrelation of ECG leads II and V6 was performed, extracting features like signal time shift (CorS) and area under V6 (AV6).
  • A linear mixed-effects model incorporated ECG features, age, and gender to predict LVED.

Main Results:

  • Hemodynamic measurements confirmed that nHBP increased LVED.
  • The model incorporating AV6 and CorS significantly improved LVED prediction compared to models using only QRS duration, age, and gender (p=1.7e-5).

Conclusions:

  • Interlead ECG changes effectively explain LVED, offering noninvasive insights into left ventricular electrical impulse conduction.
  • This ECG-based model provides a promising tool for assessing cardiac dyssynchrony.