Monitoring chest compression rate in automated external defibrillators using the autocorrelation of the transthoracic impedance.

ABSTRACT:

Aim

High-quality chest compressions is challenging for bystanders and first responders to out-of-hospital cardiac arrest (OHCA). Long compression pauses and compression rates higher than recommended are common and detrimental to survival. Our aim was to design a simple and low computational cost algorithm for feedback on compression rate using the transthoracic impedance (TI) acquired by automated external defibrillators (AEDs).

Methods

ECG and TI signals from AED recordings of 242 OHCA patients treated by basic life support (BLS) ambulances were retrospectively analyzed. Beginning and end of chest compression series and each individual compression were annotated. The algorithm computed a biased estimate of the autocorrelation of the TI signal in consecutive non-overlapping

SUBMITTER: Ruiz de Gauna S 

PROVIDER: S-EPMC7526915 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature