Fetal state assessment using fuzzy analysis of fetal heart rate signals - Agreement with the neonatal outcome

Robert Czabański; Janusz Jezewski; Krzysztof Horoba; Michał Jezewski

doi:10.1016/j.bbe.2013.07.003

Fetal state assessment using fuzzy analysis of fetal heart rate signals - Agreement with the neonatal outcome

Robert Czabański
, Janusz Jezewski
, Krzysztof Horoba
, Michał Jezewski

Department of Cybernetics, Nanotechnology and Data Processing (RAU/RAU10)

Institute of Medical Technology and Equipment

Research output: Contribution to journal › Article › peer-review

33 Citations (Scopus)

Abstract

Fetal monitoring is based on analysis of fetal heart rate signal. Visual interpretation is difficult so computer-aided systems for quantitative analysis are commonly used. The clinical interpretation guidelines provided by FIGO (Fédération Internationale de Gynécologie et d'Obstétrique) were used to develop the weighted fuzzy scoring system for qualitative assessment of the fetal state. In this work, agreement of the fuzzy classification system with the neonatal outcome assessment was analyzed. Various datasets were evaluated, depending on interpretation method of the signals which were recorded from patients. The obtained results confirmed possibility of the efficient fetal state assessment using the fuzzy inference method proposed.

Original language	English
Pages (from-to)	145-155
Number of pages	11
Journal	Biocybernetics and Biomedical Engineering
Volume	33
Issue number	3
DOIs	https://doi.org/10.1016/j.bbe.2013.07.003
Publication status	Published - 2013

Keywords

Fetal heart rate analysis
Fetal monitoring
Fuzzy systems
Signal classification

ASJC Scopus subject areas

Biomedical Engineering

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10.1016/j.bbe.2013.07.003

Cite this

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title = "Fetal state assessment using fuzzy analysis of fetal heart rate signals - Agreement with the neonatal outcome",

abstract = "Fetal monitoring is based on analysis of fetal heart rate signal. Visual interpretation is difficult so computer-aided systems for quantitative analysis are commonly used. The clinical interpretation guidelines provided by FIGO (F{\'e}d{\'e}ration Internationale de Gyn{\'e}cologie et d'Obst{\'e}trique) were used to develop the weighted fuzzy scoring system for qualitative assessment of the fetal state. In this work, agreement of the fuzzy classification system with the neonatal outcome assessment was analyzed. Various datasets were evaluated, depending on interpretation method of the signals which were recorded from patients. The obtained results confirmed possibility of the efficient fetal state assessment using the fuzzy inference method proposed.",

keywords = "Fetal heart rate analysis, Fetal monitoring, Fuzzy systems, Signal classification",

author = "Robert Czaba{\'n}ski and Janusz Jezewski and Krzysztof Horoba and Micha{\l} Jezewski",

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AU - Czabański, Robert

AU - Jezewski, Janusz

AU - Horoba, Krzysztof

AU - Jezewski, Michał

PY - 2013

Y1 - 2013

N2 - Fetal monitoring is based on analysis of fetal heart rate signal. Visual interpretation is difficult so computer-aided systems for quantitative analysis are commonly used. The clinical interpretation guidelines provided by FIGO (Fédération Internationale de Gynécologie et d'Obstétrique) were used to develop the weighted fuzzy scoring system for qualitative assessment of the fetal state. In this work, agreement of the fuzzy classification system with the neonatal outcome assessment was analyzed. Various datasets were evaluated, depending on interpretation method of the signals which were recorded from patients. The obtained results confirmed possibility of the efficient fetal state assessment using the fuzzy inference method proposed.

AB - Fetal monitoring is based on analysis of fetal heart rate signal. Visual interpretation is difficult so computer-aided systems for quantitative analysis are commonly used. The clinical interpretation guidelines provided by FIGO (Fédération Internationale de Gynécologie et d'Obstétrique) were used to develop the weighted fuzzy scoring system for qualitative assessment of the fetal state. In this work, agreement of the fuzzy classification system with the neonatal outcome assessment was analyzed. Various datasets were evaluated, depending on interpretation method of the signals which were recorded from patients. The obtained results confirmed possibility of the efficient fetal state assessment using the fuzzy inference method proposed.

KW - Fetal heart rate analysis

KW - Fetal monitoring

KW - Fuzzy systems

KW - Signal classification

UR - https://www.scopus.com/pages/publications/84884157652

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DO - 10.1016/j.bbe.2013.07.003

M3 - Article

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SP - 145

EP - 155

JO - Biocybernetics and Biomedical Engineering

JF - Biocybernetics and Biomedical Engineering

IS - 3

ER -

Fetal state assessment using fuzzy analysis of fetal heart rate signals - Agreement with the neonatal outcome

Abstract

Keywords

ASJC Scopus subject areas

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