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Extracting fetal electrocardiogram signal using ANFIS trained by genetic algorithm

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Bibliographic Details
Main Authors: Maryam, Nasiri, Karim, Faez
Other Authors: Maryam.nasiri_85@yahoo.com
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2012
Subjects:
Artificial intelligence
Neural Network
Fuzzy systems
Genetic algorithm (GA)
Fetal Electrocardiogram (FECG) signal
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/21293
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id my.unimap-21293
record_format dspace
spelling my.unimap-212932016-06-12T14:27:27Z Extracting fetal electrocardiogram signal using ANFIS trained by genetic algorithm Maryam, Nasiri Karim, Faez Maryam.nasiri_85@yahoo.com Kfaez@aut.ac.ir Artificial intelligence Neural Network Fuzzy systems Genetic algorithm (GA) Fetal Electrocardiogram (FECG) signal Link to publisher's homepage at http://ieeexplore.ieee.org/ This paper uses a method for extracting the Fetal Electrocardiogram (FECG) signal from two ECG signals recorded at thoracic and abdominal areas of mother. The thoracic ECG is assumed to be completely maternal ECG (MECG) while the abdominal ECG is assumed to be a combination of mother’s and fetus’s ECG signals and random noise. The maternal component of the abdominal ECG is a nonlinearly transformed version of MECG. The method uses Adaptive Neuro-Fuzzy Inference System (ANFIS) structure to identify the nonlinear transformation. We have used Genetic Algorithm (GA) as a tool for training the ANFIS structure. By identifying the nonlinear transformation, we have extracted FECG by subtracting the aligned version of the MECG signal from the abdominal ECG (AECG) signal. We validate the method on both real and synthetic ECG signals. The results show improvement in extraction of FECG signal with the method in this study. 2012-10-10T09:08:36Z 2012-10-10T09:08:36Z 2012-02-27 Working Paper p. 197-202 978-145771989-9 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179004 http://hdl.handle.net/123456789/21293 en Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012) Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Artificial intelligence
Neural Network
Fuzzy systems
Genetic algorithm (GA)
Fetal Electrocardiogram (FECG) signal
spellingShingle Artificial intelligence
Neural Network
Fuzzy systems
Genetic algorithm (GA)
Fetal Electrocardiogram (FECG) signal
Maryam, Nasiri
Karim, Faez
Extracting fetal electrocardiogram signal using ANFIS trained by genetic algorithm
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 Maryam.nasiri_85@yahoo.com
author_facet Maryam.nasiri_85@yahoo.com
Maryam, Nasiri
Karim, Faez
format Working Paper
author Maryam, Nasiri
Karim, Faez
author_sort Maryam, Nasiri
title Extracting fetal electrocardiogram signal using ANFIS trained by genetic algorithm
title_short Extracting fetal electrocardiogram signal using ANFIS trained by genetic algorithm
title_full Extracting fetal electrocardiogram signal using ANFIS trained by genetic algorithm
title_fullStr Extracting fetal electrocardiogram signal using ANFIS trained by genetic algorithm
title_full_unstemmed Extracting fetal electrocardiogram signal using ANFIS trained by genetic algorithm
title_sort extracting fetal electrocardiogram signal using anfis trained by genetic algorithm
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/21293
_version_ 1643793337622200320
score 13.226497

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