Prediction of cerebral perfusion pressure during CPR using electroencephalogram in a swine model of ventricular fibrillation.
Journal:
The American journal of emergency medicine
PMID:
33721657
Abstract
BACKGROUND: Measuring the quality of cardiopulmonary resuscitation (CPR) is important for improving outcomes in cardiac arrest. Cerebral perfusion pressure (CePP) could represent cerebral circulation during CPR, but it is difficult to measure non-invasively. In this study, we developed the electroencephalogram (EEG) based brain index (EBRI) derived from EEG signals by machine learning techniques, which could estimate CePP accurately in a porcine cardiac arrest model.