A method to measure ventilation rate during cardiopulmonary resuscitation using the capnogram

Andoni Elola, Beatriz Chicote, Elisabete Aramendi, Erik Alonso, Unai Irusta, Mohamud Daya, James K. Russell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


The survival rate in cardiac arrest is associated to the quality of the chest compressions (CCs) and ventilations provided during cardiopulmonary resuscitation (CPR). Hyperventilation remains common whenever ventilation is manual during resuscitation from cardiac arrest. The capnogram is used to monitor respiration and ventilation rates. During CPR chest compressions induce artefacts in the capnogram signal that challenge the detection of ventilations. The evaluation of ventilation detectors during CCs has not been well characterized. In this study an algorithm for ventilation rate monitoring and hyperventilation detection was developed. The processing method consists of detecting transitions in the first difference of the signal, and applying feature based classification to identify every ventilation. The instantaneous rate and hyperventilation minutes were then computed. A set of 20 out-of-hospital episodes, totalling 50864 s (86.6% during CCs) and 6305 ventilations was used to define and evaluate the algorithm. The algorithm had a sensitivity/ positive predictive value of 96.9%/96.2% respectively for the ventilation detection (96.7%/95.8% during ongoing CCs), 98.7%/98.7% for the hyperventilation detection, and a mean error of 0.4 (0.8) min-1 for the instantaneous ventilation rate.

Original languageEnglish (US)
Title of host publicationComputing in Cardiology Conference 2015, CinC 2015
EditorsAlan Murray
PublisherIEEE Computer Society
Number of pages4
ISBN (Electronic)9781509006854
StatePublished - Feb 16 2015
Event42nd Computing in Cardiology Conference, CinC 2015 - Nice, France
Duration: Sep 6 2015Sep 9 2015

Publication series

NameComputing in Cardiology
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X


Other42nd Computing in Cardiology Conference, CinC 2015

ASJC Scopus subject areas

  • Computer Science(all)
  • Cardiology and Cardiovascular Medicine


Dive into the research topics of 'A method to measure ventilation rate during cardiopulmonary resuscitation using the capnogram'. Together they form a unique fingerprint.

Cite this