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

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.

Background

American Heart Association CPR guidelines (AHA-CPR) and standard mechanical devices employ a "one-size-fits-all" approach to CPR that fails to adjust compressions over time or individualise therapy, thus leading to deterioration of CPR effectiveness as duration exceeds 15-20 ​min.

Methods

CPR was administered for 30 ​min in a validated porcine model of cardiac arrest. Intubated anaesthetised pigs were randomly

SUBMITTER: Sebastian PS 

PROVIDER: S-EPMC8244522 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature