UbHeart : um modelo para monitoramento de sinais vitais do coração baseado em ciência da situação e computação ubíqua.

Abstract

Patient with heart failure and without daily monitoring may have heart vital signals comitted becaming inevitable their hospitalization. This recurrent scene decreases the patient's life quality, resulting in hospital readmissions generating costs to health of system. The use of ubiquitous care, using sensors and wearables, can automate this process reducing the number of hospital admissions. In this context, we are proposing a model named Ubheart, which employs situation awareness to identify possible heart problems. As a scientific contribution the proposed model monitors the possible degradation of patient's heart vital signs, using the detection of situations of cardiac complications. The evaluation was performed by means of a practical scenario with use of a mobile application and a set of physiological data 100 grouped into five intervals for analysis two patients 72 and 23 years. The results were positive and the application of UbHeart model that allowed us to understand the situation differently. They found values of 80% degree of engagement of the two patients compared to the risk when considering the average of the physiological signals in range and 50% and 20% for elderly and young patients, respectively, when considered logical tendency of physiological signals in interval.