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Polish Conference on Biocybernetics and Biomedical Engineering

PCBBE 2017: Recent Developments and Achievements in Biocybernetics and Biomedical Engineering pp 56–67Cite as

Localization of Noise Sources in a Multilead Electrophysiological Record

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 647))

Abstract

Electrophysiological recordings from brain, heart, stomach or muscles usually contain noise, which decreases the clarity of desired signal. The term ‘noise’ is commonly applied to a variety of extrinsic factors: spontaneous muscle activation, skin response, interferences or limitations in electrical circuits. Usually the noise is identified by its temporal or spectral characteristics provided by statistical models. This paper proposes a two-compartment model of noise allowing for rough localization of its source with a search of coincidence in a multilead record. Accordingly to characteristics of noise sources expected in each of these compartment, the algorithm performs correlation, coherence and principal component analysis to distinguish equipment-related noise from a possible extra physiological activity taking place within the body. Physiological activities can be then localized with use of the independent component analysis with regard to the electrode position and, with applying of extra knowledge, classified as noise or signal. The proposed algorithm was tested with synthetic and original ECG and shows 43-95% of detection efficiency, depending on the source and amplitude of noise. It can be beneficial for assessment of physiological record quality, studying coincident physiological processes and research on noise characteristics.

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Acknowledgement

This scientific work is supported by the AGH University of Science and Technology in year 2017 as a research project No. 11.11.120.612.

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Authors and Affiliations

  1. AGH University of Science and Technology, 30 Mickiewicza Ave., 30-059, Kraków, Poland

    Piotr Augustyniak

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  1. Piotr Augustyniak
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Correspondence to Piotr Augustyniak .

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Editors and Affiliations

  1. AGH University of Science and Technology, Krakow, Poland

    Piotr Augustyniak

  2. Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland

    Roman Maniewski

  3. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

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Augustyniak, P. (2018). Localization of Noise Sources in a Multilead Electrophysiological Record. In: Augustyniak, P., Maniewski, R., Tadeusiewicz, R. (eds) Recent Developments and Achievements in Biocybernetics and Biomedical Engineering. PCBBE 2017. Advances in Intelligent Systems and Computing, vol 647. Springer, Cham. https://doi.org/10.1007/978-3-319-66905-2_5

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  • DOI: https://doi.org/10.1007/978-3-319-66905-2_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66904-5

  • Online ISBN: 978-3-319-66905-2

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