Publications en collaboration avec des chercheurs de University of Pennsylvania (5)

2024

  1. Machine learning model to predict evolution of pulseless electrical activity during in-hospital cardiac arrest

    Resuscitation Plus, Vol. 17

2023

  1. Heart rate and QRS duration as biomarkers predict the immediate outcome from pulseless electrical activity

    Resuscitation, Vol. 185

  2. Non-shockable rhythms: A parametric model for the immediate probability of return of spontaneous circulation

    Resuscitation, Vol. 191

2022

  1. Pulseless electrical activity in in-hospital cardiac arrest – A crossroad for decisions

    Resuscitation, Vol. 176, pp. 117-124

2020

  1. Factors affecting the course of resuscitation from cardiac arrest with pulseless electrical activity in children and adolescents

    Resuscitation, Vol. 152, pp. 116-122