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

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

Author information

1
Medizinische Klinik der Technischen Universität München, Munich, Germany.
2
Institut für Medizinische Statistik und Epidemiologie der Technischen Universität München, Munich, Germany.
3
Medizinische Klinik der Technischen Universität München, Munich, Germany; DZHK (German Centre for Cardiovascular Research, partner site Munich Heart Aliance).
4
St. Paul's Cardiac Electrophysiology, University of London, and Imperial College, London, England. Electronic address: marek.malik@btinternet.com.

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

[Indexed for MEDLINE]

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