Sudden infant death syndrome (SIDS), also known as cot death or crib death, is the first cause of death in children between the ages of 2 and 12 months. In this paper, we outline the creation of a monitoring and emergency net which applies the internet of things (IoT) to get real-time information regarding the cause of SIDS and turn the system into a prevention and early diagnosis tool. An algorithm coded in MATLAB R2013a (Mathworks) will be implemented to assess the patient's vitality, using fuzzy logic, and recollect information about the different phases of the disease.

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Modeling and simulation are becoming increasingly important tools for teaching and researching in medicine. Medical guidelines are systematically developed statements to assist practitioners to determine appropriate health care in specific circumstances. A medical guideline or protocol can be represented, in an abstract way, as a discrete event system model. This is indeed a promising field for applying this kind of models. In this paper, we present a finite automaton model for the Neonatal Adaptation Guideline developed by the School of Pediatrics and Neonatology of the National University of Colombia. The reported model extends the original flow chart containing the guideline, in terms of understanding, consistence and level of detail.