Информационная система контроля за жизненно важными параметрами новорожденных

Abstract

Certain categories of people, as well as newborn babies require constant monitoring signs of their life in hospitals or at home. The most common reason for this observation - apnea. Apnea - a condition accompanied by a lack of respiratory movements for more than 20 seconds. Caused by various factors such as the depletion of blood carbon dioxide caused by excessive ventilation, diseases such as bronchial asthma, various pulmonary diseases, snoring. This observation is particularly relevant for their newborn children. In the light of these provisions, the relevance of this work is evident and the need to address the information system for monitoring vital parameters, estimates and forecasts status of newborns as the problems of the complex. In order to observe these main basic parameters of life, we need a punctual device, which helps monitor newborns, on the one hand and, on the other hand to obtain a correct solution with respect to time in an emergency without the need for specialist or doctor. An artificial intelligence tool, which depends on machine learning, is the best modern method for this kind of information system.