ABSTRACT
It's necessary to interrupt cardiopulmonary resuscitation (CPR) for a reliable automatic external defibrillator (AED) rhythm analysis, because the mechanical activity from the chest compressions introduces artifacts in the electrocardiogram (ECG) that substantially lower the capacity of an AED to judge cardio-electric rhythm. However, repeated interruptions of compression will reduce the quality of CPR, which in turn affect the prognosis of patients with cardiac arrest (CA). In order to improve the quality of CPR, reduce the interruptions of chest compression and implement accurate defibrillation, people have made many efforts on identifying ECG rhythm in CPR. The studies can be grouped into two broad categories: those based on the artificial mixture of ECG data and CPR artifacts and those based on CA data recorded during CPR. This article introduced researches for rhythm recognition in CPR, including sources and characteristics of CPR artifacts, methods of rhythm analysis, and provided a basis for the study of how to improve the accuracy of cardio-electric rhythm recognition.
ABSTRACT
It's necessary to interrupt cardiopulmonary resuscitation (CPR) for a reliable automatic external defibrillator (AED) rhythm analysis, because the mechanical activity from the chest compressions introduces artifacts in the electrocardiogram (ECG) that substantially lower the capacity of an AED to judge cardio-electric rhythm. However, repeated interruptions of compression will reduce the quality of CPR, which in turn affect the prognosis of patients with cardiac arrest (CA). In order to improve the quality of CPR, reduce the interruptions of chest compression and implement accurate defibrillation, people have made many efforts on identifying ECG rhythm in CPR. The studies can be grouped into two broad categories: those based on the artificial mixture of ECG data and CPR artifacts and those based on CA data recorded during CPR. This article introduced researches for rhythm recognition in CPR, including sources and characteristics of CPR artifacts, methods of rhythm analysis, and provided a basis for the study of how to improve the accuracy of cardio-electric rhythm recognition.