Detecting chest compression depth using a smartphone camera and motion segmentation

Abstract

Telephone assisted guidance between dispatcher and bystander providing cardiopulmonary resuscitation (CPR) can improve the quality of the CPR provided to patients suffering from cardiac arrest. Our research group has earlier proposed a system for communication and feedback of the compression rate to the dispatcher through a smartphone application. In this paper we have investigated the possibilities of providing the dispatcher with more information by also detecting the compression depth. Our method involves detection of bystander‘s position in the image frame and detection of compression depth by generating Accumulative Difference Images (ADIs). The method shows promising results and give reason to further develop a general and robust solution to be embedded in the smartphone application.