Carnegie Mellon University
file.pdf (787.17 kB)

Analysis of smartphone video footage classifies chest compression rate during simulated CPR.

Download (787.17 kB)
journal contribution
posted on 2014-09-01, 00:00 authored by Adam Frisch, Samarjit Das, Joshua C. Reynolds, Fernando de la Torre, Jessica K Hodgins, Jestin N. Carlson

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].


Publisher Statement

This is the author’s version of a work that was accepted for publication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version is available at



Usage metrics


    Ref. manager