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A fuzzy model for processing and monitoring vital signs in ICU patients
Cicília R M Leite1, Gláucia R A Sizilio, Adrião D D Neto
1Department of Informatic, State University of Rio Grande do Norte/College of Science and Technology Mater Christi, Brazil, Av, Campus Universitário, BR 110, KM, 46, CEP: 59625-620, Brazil. ciciliamaia@uern.br
Background:
The area of the hospital automation has been the subject of much research, addressing relevant issues which can be automated, such as: management and control (electronic medical records, scheduling appointments, hospitalization, among others); communication (tracking patients, staff and materials), development of medical, hospital and laboratory equipment; monitoring (patients, staff and materials); and aid to medical diagnosis (according to each speciality).
Methods:
In this context, this paper presents a Fuzzy model for helping medical diagnosis of Intensive Care Unit (ICU) patients and their vital signs monitored through a multiparameter heart screen. Intelligent systems techniques were used in the data acquisition and processing (sorting, transforming, among others) it into useful information, conducting pre-diagnosis and providing, when necessary, alert signs to the medical staff.
Conclusions:
The use of fuzzy logic turned to the medical area can be very useful if seen as a tool to assist specialists in this area. This paper presented a fuzzy model able to monitor and classify the condition of the vital signs of hospitalized patients, sending alerts according to the pre-diagnosis done helping the medical diagnosis.
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