Key result
A review of methods for ECG rhythm analysis during chest compressions highlights that most approaches report low specificity on short segments, with the real impact on CPR delivery remaining unknown.
This review highlights the ongoing challenges and low specificity of current algorithms designed to analyze ECG rhythms without interrupting CPR, emphasizing the need for improved methodologies.
Low specificity limits safe adoption of current algorithms during CPR; leaves open their net effect on delivery.
Survival from out-of-hospital cardiac arrest depends largely on two factors: early cardiopulmonary resuscitation (CPR) and early defibrillation. CPR must be interrupted for a reliable automated rhythm analysis because chest compressions induce artifacts in the ECG. Unfortunately, interrupting CPR adversely affects survival. In the last twenty years, research has been focused on designing methods for analysis of ECG during chest compressions. Most approaches are based either on adaptive filters to remove the CPR artifact or on robust algorithms which directly diagnose the corrupted ECG. In general, all the methods report low specificity values when tested on short ECG segments, but how to evaluate the real impact on CPR delivery of continuous rhythm analysis during CPR is still unknown. Recently, researchers have proposed a new methodology to measure this impact. Moreover, new strategies for fast rhythm analysis during ventilation pauses or high-specificity algorithms have been reported. Our objective is to present a thorough review of the field as the starting point for these late developments and to underline the open questions and future lines of research to be explored in the following years.
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Gauna et al. (2014) conducted a review in Out-of-hospital cardiac arrest. Methods for analysis of ECG during chest compressions was evaluated. A review of methods for ECG rhythm analysis during chest compressions highlights that most approaches report low specificity on short segments, with the real impact on CPR delivery remaining unknown.
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