A Machine Learning Model for the Prognosis of Pulseless Electrical Activity during Out-of-Hospital Cardiac Arrest

Application of ultrasound in pulseless electrical activity (PEA) cardiac arrest

application of ultrasound in pulseless electrical activity (pea) cardiac arrest

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investigating the feasibility of a proposed model for geometric design of deployable arch structures

deployable scissor type structures are composed of the so-called scissor-like elements (sles), which are connected to each other at an intermediate point through a pivotal connection and allow them to be folded into a compact bundle for storage or transport. several sles are connected to each other in order to form units with regular polygonal plan views. the sides and radii of the polygons are...

Application of ultrasound in pulseless electrical activity (PEA) cardiac arrest

____________________________________________________________________________________________________________________ . MD, Researcher, Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran. [email protected] . (Corresponding author) MD, Professor of Neurosurgery, Research Vice Chancellor of Sina Trauma and Surgery Research Center, Department of Neuro...

Who survives from out-of-hospital pulseless electrical activity?

AIM OF THE STUDY To study factors associated with short-term and long-term survival after out-of-hospital cardiac arrest presenting with pulseless electrical activity (PEA). MATERIALS AND METHODS This was a retrospective observational study. All out-of-hospital cardiac arrests in Helsinki, Finland during 1 January 1997-31 December 2005 were prospectively registered in the cardiac arrest datab...