Assessment of mean respiratory rate from ECG recordings for risk stratification after myocardial infarction

J Electrocardiol. 2014 Sep-Oct;47(5):700-4. doi: 10.1016/j.jelectrocard.2014.04.021. Epub 2014 May 4.

Abstract

Background: We recently reported that nocturnal respiratory rate (NRR) predicts non-sudden cardiac death in survivors of myocardial infarction (MI). Here, we present the details of the technique deriving NRR from ECG recordings.

Methods: Continuous ECG and respiratory chest excursions were simultaneously recorded in 941 MI survivors who were followed-up for 5-years. Mean respiratory rate was derived from the ECG based on RR intervals, QRS amplitudes, and QRS vectors and compared to chest belt measurements. NRR was calculated from Holter-ECGs accordingly using the same ECG processing.

Results: Directly-measured and ECG-derived respiratory rates were in good agreement. Areas under the ROC curve for 10-min-ECG- and Holter-derived respiratory rate were well in the confidence intervals of that of the chest belt measurement. The optimum dichotomy of NRR for the prediction of mortality was ≥18.6 breaths per minute.

Conclusions: The mean respiratory rate can be precisely derived from continuous ECGs.

Keywords: ECG; Myocardial infarction; Nocturnal respiratory rate.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Algorithms
  • Electrocardiography, Ambulatory / methods*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Myocardial Infarction / mortality
  • Myocardial Infarction / physiopathology*
  • Predictive Value of Tests
  • Prognosis
  • Respiratory Rate*
  • Risk Assessment