Analysis of smart phone video footage classifies chest compression rate during simulated CPR - Robotics Institute Carnegie Mellon University

Analysis of smart phone video footage classifies chest compression rate during simulated CPR

A. Frisch, S. Das, J. C. Reynolds, F. De la Torre, J. K. Hodgins, and J. N. Carlson
Journal Article, American Journal of Emergency Medicine, Vol. 32, No. 9, pp. 1136 - 1138, September, 2014

Abstract

Approximately 360,000 persons suffer out-of-hospital cardiac arrest (OHCA) annually in the United States [ 1 ], and high-quality cardiopulmonary resuscitation (CPR) is the cornerstone of prehospital resuscitation [ 2 ]. Real-time feedback devices improve CPR quality [ 3 ] but are typically an accessory to the monitor/defibrillator and not available to the lay public. Instead, the lay public is taught to “push hard and fast” without any provision for real-time feedback to optimize performance [ 4 ]. Bystander CPR provides a key link in the chain of survival [ 5 ]: communities with higher rates of bystander CPR enjoy commensurate improvements in OHCA survival [ 2 , 6 ], and 1 additional life is saved for every 30 OHCA victims who receive bystander CPR [ 7 ].

BibTeX

@article{Frisch-2014-120720,
author = {A. Frisch and S. Das and J. C. Reynolds and F. De la Torre and J. K. Hodgins and J. N. Carlson},
title = {Analysis of smart phone video footage classifies chest compression rate during simulated CPR},
journal = {American Journal of Emergency Medicine},
year = {2014},
month = {September},
volume = {32},
number = {9},
pages = {1136 - 1138},
}