Extração de Sinal de ECG Fetal Compressado Utilizando Sistema de Inferência Neuro-Fuzzy Adaptativo

Felipe Meneguitti Dias, Thales Wulfert Cabral, Rayen Naji, Eduardo Pestana de Aguiar, Marcelo Lima, Leandro Manso, Leonardo Honorio

DOI: 10.14209/sbrt.2019.1570558851

Evento: XXXVII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2019)

Keywords:

Abstract

This paper presents a methodology for fetal electrocardiogram extraction in signals sampled using a technique known as compressive sampling. Two meters are used, one located on the chest and the other on the abdomen of a pregnant woman. In order to obtain the fetal electrocardiogram signal, an adaptive neuro-fuzzy inference system is used to estimate the interference of the maternal electrocardiogram in the abdomen meter. In this way, it is possible to subtract this interference and, consequently, to obtain the desired signal.

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