Development of an IoT-Based System for Training in Cardiopulmonary Resuscitation

With the increase in heart disease and frequent heart attacks, the death rate has increased in a terrifying and appalling manner worldwide due to the lack of first aid practices such as cardiopulmonary resuscitation (CPR). Cardiopulmonary resuscitation is a dual process in which the paramedic resuscitates the lung and heart. As for resuscitation of the lung, it is through the delivery of air and oxygen to it through artificial respiration, as for reviving the heart, it is accomplished through manual pressure on the area of the injured heart “in the area between the thoracic bone and the spine” so that blood is pumped to human vital organs of the injured person’s body, especially the brain. This paper involves designing a manikin that interacts with humans to facilitate the application of CPR in a correct and scientific form by measuring the strength and depth of pressure and calculating the number of compression per minute (CPM). The system control architecture is based on IoT concept where data that is read from integrated sensors and sent to IoT hubs such as Amazon Web Services. The purpose of this work is to provide trainees with a training tool on resuscitation approaches.