Title Realizing Optimal Chest Compression Fraction During Cardiopulmonary Resuscitation
Publication Type Conference Paper
Year of Publication 2016
Authors Talkington, J, Dantu, R
Conference Name 2016 IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)
Date Published June
Keywords airways, Cardiac arrest, cardiopulmonary resuscitation, cardiovascular system, Chest Compression Fraction, CPR, CPR administrator switching, defibrillation, defibrillators, game theory, Games, Guidelines, Heart, lung, Measurement, optimal chest compression fraction, pneumodynamics, rational actor models
Abstract

Cardiopulmonary Resuscitation (CPR) is usually preformed in complex situations with multiple parties with a wide range of capabilities. These situations require intermediate pauses for defibrillation, applying advanced airways, and switching CPR administrators. One of the biggest unknowns if chest compression fraction (CCF), which is the optimal fraction of time spent applying compressions. Using the American Heart Association (AHA) guidelines for CPR and rational actor models from game theory, we show the validity of the recommended CCF set by the by the AHA.
DOI 10.1109/CHASE.2016.41

UNT Department:

  • Computer Science and Engineering (CSE)

UNT Center:

  • Center for Information and Cyber Security (CICS)

UNT Lab:

  • Network Security Laboratory (NSL)
Document: 
Realizing_Optimal_Chest_Compression_Fraction_CPR.pdf