10.1184/R1/6551948.v1
Adam Frisch
Adam
Frisch
Samarjit Das
Samarjit
Das
Joshua C. Reynolds
Joshua C.
Reynolds
Fernando de la Torre
Fernando
de la Torre
Jessica K Hodgins
Jessica K
Hodgins
Jestin N. Carlson
Jestin N.
Carlson
Analysis of smartphone video footage classifies chest compression rate during simulated CPR.
Carnegie Mellon University
2014
Cardiopulmonary Resuscitation
Cell Phones
Heart Massage
Humans
Video Recording
2014-09-01 00:00:00
Journal contribution
https://kilthub.cmu.edu/articles/journal_contribution/Analysis_of_smartphone_video_footage_classifies_chest_compression_rate_during_simulated_CPR_/6551948
<p>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].</p>