Analysis of smartphone video footage classifies chest compression rate during simulated CPR.
Adam Frisch, Samarjit Das, Joshua Reynolds, Fernando de la Torre, Jessica Hodgins, Jestin Carlson
The American Journal of Emergency Medicine (September 1, 2014)

Approximately 360000 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].

Adam Frisch, Samarjit Das, Joshua Reynolds, Fernando de la Torre, Jessica Hodgins, Jestin Carlson (September 1, 2014). Analysis of smartphone video footage classifies chest compression rate during simulated CPR.. The American Journal of Emergency Medicine, 32(9).

@article{Hodgins:2017:DOE,
author={Adam Frisch, Samarjit Das, Joshua Reynolds, Fernando de la Torre, Jessica Hodgins, Jestin Carlson},
title={Analysis of smartphone video footage classifies chest compression rate during simulated CPR.},
journal={The American Journal of Emergency Medicine},
volume={32},
number={9},
year={September 1, 2014},
links={http://repository.cmu.edu/cgi/viewcontent.cgi?article=2170&context=robotics}