• Roberta Affatato, Yongqin Li, and Giuseppe Ristagno.
• aLaboratory of Cardiopulmonary Pathophysiology, IRCCS - Istituto di Ricerche Farmacologiche 'Mario Negri', Milan, Italy bSchool of Biomedical Engineering, Third Military Medical University and Chongqing University, Chongqing, China.
• Curr Opin Crit Care. 2016 Jun 1; 22 (3): 199-205.

Purpose Of ReviewAutomated external defibrillators require preshock interruptions in cardiopulmonary resuscitation (CPR) to perform rhythm analysis. Artifact filtering technology may provide the opportunity to visualize the underlying ECG trace during CPR. Moreover, a continuous ventricular fibrillation analysis may be performed such to prioritize CPR interventions, that is, chest compression or defibrillation.Recent FindingsDifferent ECG filtering techniques and ventricular fibrillation analysis algorithms to predict defibrillation outcome have been developed. Techniques to analyze ECG rhythm during CPR encompass two major solutions: adaptive filters for the suppression of chest compression artifacts and algorithms for a direct analysis of the artifact-contaminated ECG. The above methods achieve overall a high sensitivity of more than 99%, but an unacceptable specificity of less than 93%. Among the different ventricular fibrillation analysis approaches and defibrillation predictors, amplitude spectrum area has appeared as an independent predictor of defibrillation success, with an area under the receiver operating curve of 0.86.SummaryThe feasibility of ventricular fibrillation detection during CPR is a challenging issue that, if solved, would enable CPR to continue during the automated external defibrillator rhythm analysis. Furthermore, it would allow a continuous ventricular fibrillation analysis to optimize the timing of defibrillation and maximize the shock success.

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