Abstract
We developed an application that uses sensors in a smartphone to estimate a user's chest compression motion in performing cardiopulmonary resuscitation (CPR). In our system, the smartphone measures the motion of chest compression with accelerometer sensors and provides a visual, auditory, and tactile feedback to conduct proper chest compression CPR. We evaluated our estimation algorithms while conducting chest compressions on a mannequin and compared the error between the estimated position and ground truth position. Furthermore, we compared the efficacy of sensory feedback (auditory only, tactile only, and audiotactile) to instruct the proper chest compression rate using the smartphone application.
