A Fuzzy Intelligent Agent for Analysis and Classification of Fetuses' Cardiac Signals

作者：Fernandes J N O^*; Cortez P C; Marques J A L; Feitosa F E L

来源：IEEE Latin America Transactions, 2016, 14(5): 2052-2058.

DOI：10.1109/tla.2016.7530394

• Cardiotocograph
• Fetal Heart Rate
• Fuzzy Logic
• Diagnostic

The accurate analysis of the fetal heart rate (FHR) and its correlation with uterine contractions (UC) allow the diagnostic and the anticipation of many problems related to fetal distress and the preservation of its life. This paper presents the results of a system based on a fuzzy intelligent agent developed to analyse FHR signal collected by cardiotocography (CTG) exams. The system is developed using MATLAB (R) v.7. The project is also supported by a multi-institutional agreement between Brazil and Germany, among the DETI (Departamento de Engenharia de Teleinformatica of the Universidade Federal do Ceara), the MEAC (Maternidade-Escola Assis Chateaubriand), the TUM (Technische Universitat Munchen), and the Trium GmbH, a German company who supplied the database used in this project. The results are very promising with a diagnostic accuracy varying from 84,84% to 100%, according to the type of the proposed diagnostic. The system validation methodology was based on the knowledge of Brazilian obstetricians.

• 出版日期2016-5