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Adaptive Signal Processing of Fetal PCG Recorded by Interferometric Sensor

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Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications (ECC 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 682))

Abstract

This paper is focused on the design, implementation, and verification of an adaptive system for processing of the fetal phonocardiogram (fPCG) recorded by the novel interferometric sensor. The main interference to be suppressed in the abdominal signal is the maternal phonocardiogram (mPCG). In this article, adaptive methods based on Least Mean Square and Recursive Least Square algorithms are used for the elimination of the maternal component. Evaluation of the filtration quality is provided using the objective parameters (Signal Noise to Ratio, Sensitivity, and Positive Predictive Value).

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Acknowledgements

This article was supported by the Ministry of Education of the Czech Republic (Projects Nos. SP2017/128 and SP2017/79). This research was partially supported by the Ministry of Education, Youth and Sports of the Czech Republic through Grant Project no. CZ. 1.07/2.3.00/20.0217 within the framework of the Operation Programme Education for Competitiveness financed by the European Structural Funds and from the state budget of the Czech Republic.

Author information

Authors and Affiliations

  1. Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Radek Martinek, Jan Nedoma & Marcel Fajkus

  2. Department of Telecommunications, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Radana Kahankova

  3. Department of Electrical and Computer Engineering, University of Texas El Paso, 500 W University Ave, El Paso, TX, 79968, USA

    Homer Nazeran

  4. Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Jana Nowakova

Authors
  1. Radek Martinek
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  2. Radana Kahankova
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  3. Jan Nedoma
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  4. Marcel Fajkus
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  5. Homer Nazeran
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  6. Jana Nowakova
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Corresponding author

Correspondence to Radek Martinek .

Editor information

Editors and Affiliations

  1. Department of Computer Science, VÅ B-Technical University of Ostrava , Ostrava-Poruba, Czech Republic

    Pavel Krömer

  2. Dept. Lenguajes y Ciencias de la Computación, University of Málaga, Málaga, Spain

    Enrique Alba

  3. Fujian University of Technology, Fuzhou, Fujian, China

    Jeng-Shyang Pan

  4. Department of Computer Science, VÅ B-Technical University of Ostrava, Ostrava-Poruba, Czech Republic

    Václav Snášel

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Martinek, R., Kahankova, R., Nedoma, J., Fajkus, M., Nazeran, H., Nowakova, J. (2018). Adaptive Signal Processing of Fetal PCG Recorded by Interferometric Sensor. In: Krömer, P., Alba, E., Pan, JS., Snášel, V. (eds) Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications. ECC 2017. Advances in Intelligent Systems and Computing, vol 682. Springer, Cham. https://doi.org/10.1007/978-3-319-68527-4_26

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  • DOI: https://doi.org/10.1007/978-3-319-68527-4_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68526-7

  • Online ISBN: 978-3-319-68527-4

  • eBook Packages: EngineeringEngineering (R0)

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