Closed-loop machine-controlled CPR system optimises haemodynamics during prolonged CPR.

Journal: Resuscitation plus
Published Date: Aug 12, 2020

Abstract

OBJECTIVES: We evaluated the feasibility of optimising coronary perfusion pressure (CPP) during cardiopulmonary resuscitation (CPR) with a closed-loop, machine-controlled CPR system (MC-CPR) that sends real-time haemodynamic feedback to a set of machine learning and control algorithms which determine compression/decompression characteristics over time.

Authors

  • Pierre S Sebastian
    Center for Resuscitation Medicine, University of Minnesota Medical School, Cardiovascular Division, University of Minnesota, Minneapolis, MN, United States.
  • Marinos N Kosmopoulos
    Center for Resuscitation Medicine, University of Minnesota Medical School, Cardiovascular Division, University of Minnesota, Minneapolis, MN, United States.
  • Manan Gandhi
    Georgia Institute of Technology, School of Aerospace Engineering, Institute of Robotics and Intelligent Machines, Center for Machine Learning, United States.
  • Alex Oshin
    Georgia Institute of Technology, School of Aerospace Engineering, Institute of Robotics and Intelligent Machines, Center for Machine Learning, United States.
  • Matthew D Olson
    Center for Resuscitation Medicine, University of Minnesota Medical School, Cardiovascular Division, University of Minnesota, Minneapolis, MN, United States.
  • Adrian Ripeckyj
    Center for Resuscitation Medicine, University of Minnesota Medical School, Cardiovascular Division, University of Minnesota, Minneapolis, MN, United States.
  • Logan Bahmer
    Center for Resuscitation Medicine, University of Minnesota Medical School, Cardiovascular Division, University of Minnesota, Minneapolis, MN, United States.
  • Jason A Bartos
    Center for Resuscitation Medicine, University of Minnesota Medical School, Cardiovascular Division, University of Minnesota, Minneapolis, MN, United States.
  • Evangelos A Theodorou
    Georgia Institute of Technology, School of Aerospace Engineering, Institute of Robotics and Intelligent Machines, Center for Machine Learning, United States.
  • Demetris Yannopoulos
    Center for Resuscitation Medicine, University of Minnesota Medical School, Cardiovascular Division, University of Minnesota, Minneapolis, MN, United States.

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