Monitoração fetal eletrônica por meio de cardiotocografias utilizando um sistema baseado em inteligência computacional

Abstract

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 fuzzy inference system developed to analyze FHR and UC 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 diagnostic 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 UFC - Universidade Federal do Ceará, the TUM - Technische Universität München, and the Trium Analysis Online GmbH. The system validation methodology was based on the knowledge of Brazilian and German obstetricians. The results achieved low false positive rates, classifying a high percentage of normal exams as normal and none suspicious or pathological exams as normal ones. These results allow the projection of the refinement of the proposed system with new input variables and further analysis of other obstetricians. © Springer-Verlag Berlin Heidelberg 2007.