Towards the Development of Smart and Reliable Health Assistance Networks Exemplified by an Apnea Detection System

Sudden infant death syndrome is the most frequent cause of death in infancy and the risk is highest for premature babies. Although the elicitors are still unknown, the final mechanism is oxygen undersupply caused by respiratorial irregularities e.g. Apnea. Existing apnea detection systems are neither able to identify and suppress false alarms nor to notify emergency staff automatically. To tackle these and similar problems, we present a two-level approach for developing smart health assistance systems that are intelligent and reliable at the same time. On the device level, we can use our data dependent controller synthesis approach to establish a smart alarm system that is able to detect false alarms and to trigger color-coded alarm notifications automatically. On the communication level, we present an approach for analyzing communication networks to ensure a reliable infrastructure for the routing of emergency messages generated by the controller. We exemplify the application of this two-level approach by reference to a smart apnea detection system based on an intelligent, reliable, and automatic emergency alarm.