SISCTG: um sistema inteligente para auxílio ao diagnóstico na análise de exames cardiotocográficos

• Autor(a) principal: Marques, João Alexandre Lôbo
• Data de Publicação: 2007
• Outros Autores: Cortez, Paulo César, Barreto, Guilherme de Alencar, Feitosa, Francisco Edson de Lucena
• Tipo de documento: Artigo de conferência
• Idioma: por
• Título da fonte: Repositório Institucional da Universidade Federal do Ceará (UFC)
• Texto Completo: http://www.repositorio.ufc.br/handle/riufc/70637
• topic: Frequência cardíaca fetal; Cardiotocografia; Lógica nebulosa; Diagnóstico; Inteligência computacional

The accurate analysis of the fetal heart rate (FHR) and its correlation with uterine contractions (UC) allows the diagnostic and the anticipation of many problems related to fetal distress and the preservation of his life. This paper presents the results of an hibrid system based on a set of deterministic rules and a Mamdani fuzzy inference system developed to analyze signals collected by cardiotocography (CTG) exams. The studied variables are basal FHR, short and long term FHR variability, transitory accelerations and decelerations, these lasts classified by their type and number of ocurrencies. The system output is a first level diagnostics based on those input variables. The system is developed using the Matlab version 7 script language. The project also supports a multi-institutional agreement between Brazil and Germany, among the DETI - Departamento de Engenharia de Teleinformática of the UFC, the MEAC - Maternidade-Escola Assis Chateaubriand, the TUM - Technische Universität München, and the Trium GmbH. The results are very promising, allowing the projection of the refinement of the proposed system, inserting new input variables (such as the approximate entropy of the FHR and its variability). The system validation methodology was based on the knowledge of Brazilian and German obstetricians.