A sudden infant death prevention system for babies

Abstract

The sudden infant death syndrome (SIDS) is an expert diagnosis when an apparently healthy baby dies without explanation. When physicians or coroners cannot explain the cause of death it is classified as sudden death. This paper reviews the related literature and proposes a mobile solution based on biofeedback monitoring that tries to prevent the sudden death in infants. The sudden death system uses real-time data collection from sensors to diagnose, in advance, baby health problems and prevent those are take care for a baby. When an issue is detected by this system (i.e., the sensors send abnormal data), it sends a warning to those responsible for the baby. It allows the access to data from sensors and their analysis in real-time (such as, the baby position and the crib). Signal processing algorithms are used in real-time to prevent a sudden death. Mobile devices (such as, smartphones or tablets) are used to process the sensed data and monitoring a baby performing alerts/warnings when an abnormal situation is detected. The proposed approach is evaluated and demonstrated through a prototype.