Smart Manikin for CardioPulmonary Resuscitation

Available, high-quality CardioPulmonary Resuscitation (CPR, as a subset of Basic Life Support) training can reduce the impact of sudden cardiac arrests, a global health challenge. However, such training is labor intensive as instructors can only handle groups of 6 trainees, who have to judge their trainees performance via visual inspection. Consequently, both availability and quality of CPR training are under pressure. Current CPR manikins are either passive or are expensive and closed source, limiting their use significantly. We introduce a smart manikin with Technology-Enhanced Feedback (TEF). This smart TEF manikin can function autonomously, providing accurate, consistent, and real-time feedback, while being open source. It measures trainee's performance on CPR's three main metrics: ventilation volume, compression depth, and chest recoil. In due time, its Human-in-the-Loop (HITL) control framework will allow adaptive, personalized training, assessment of retention of training, and advanced life support scenarios. As such, it holds the promise for better CPR training and, hence, can save lives of those that suffer from an out-of-hospital cardiac arrest.