Chest compression rate feedback based on transthoracic impedance

• Published in: Resuscitation Vol. 93; pp. 82 - 88
• Main Authors: González-Otero, Digna M, Ruiz de Gauna, Sofía, Ruiz, Jesus, Daya, Mohamud R, Wik, Lars, Russell, James K, Kramer-Johansen, Jo, Eftestøl, Trygve, Alonso, Erik, Ayala, Unai
• Format: Journal Article
• Language: English
• Published: Ireland Elsevier Ireland Ltd 01-08-2015
• Subjects: Algorithms; Automated external defibrillator; Basic life support; Cardiography, Impedance - methods; Cardiopulmonary Resuscitation - instrumentation; Cardiopulmonary Resuscitation - methods; Cardiopulmonary Resuscitation - standards; Chest compression; CPR quality; Defibrillators; Electrocardiography - methods; Emergency; Emergency Medical Services - standards; Feasibility Studies; Feedback; Heart Arrest - therapy; Humans; Predictive Value of Tests; Pressure; Quality Assurance, Health Care - methods; Quality Improvement; Reproducibility of Results; Transthoracic impedance; Chest compression; Basic life support; CPR quality; Automated external defibrillator; Transthoracic impedance
• ISSN: 0300-9572; 1873-1570
• DOI: 10.1016/j.resuscitation.2015.05.027

Abstract Background Quality of cardiopulmonary resuscitation (CPR) is an important determinant of survival from cardiac arrest. The use of feedback devices is encouraged by current resuscitation guidelines as it helps rescuers to improve quality of CPR performance. Aim To determine the feasibility of a generic algorithm for feedback related to chest compression (CC) rate using the transthoracic impedance (TTI) signal recorded through the defibrillation pads. Methods We analysed 180 episodes collected equally from three different emergency services, each one using a unique defibrillator model. The new algorithm computed the CC-rate every 2 s by analysing the TTI signal in the frequency domain. The obtained CC-rate values were compared with the gold standard, computed using the compression force or the ECG and TTI signals when the force was not recorded. The accuracy of the CC-rate, the proportion of alarms of inadequate CC-rate, chest compression fraction (CCF) and the mean CC-rate per episode were calculated. Results Intervals with CCs were detected with a mean sensitivity and a mean positive predictive value per episode of 96.3% and 97.0%, respectively. Estimated CC-rate had an error below 10% in 95.8% of the time. Mean percentage of accurate alarms per episode was 98.2%. No statistical differences were found between the gold standard and the estimated values for any of the computed metrics. Conclusion We developed an accurate algorithm to calculate and provide feedback on CC-rate using the TTI signal. This could be integrated into automated external defibrillators and help improve the quality of CPR in basic-life-support settings.