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Digital Processing Algorithms of Biomedical Signals Using Cubic Base Splines

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Intelligent Human Computer Interaction (IHCI 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13741))

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Abstract

In this article, the issues of digital processing and restoration of electroencephalogram (EEG) signals from biomedical signals are considered, the location of 21 sensors in the EEG apparatus along the brain, the naming of the sensors, their connection types, the use of bipolar coupling in the detection of disease symptoms, interpolation of received signals, disease symptoms. The processes of separating parts into scales have been studied. During the work, the B-spline function was selected as the most convenient mathematical model for digital processing of EEG signals, and the construction of the B-spline function was presented. Based on the constructed mathematical model, an algorithm for restoring the electroencephalogram signals by dividing the problematic parts into scales was developed, and the absolute error in the restoration of EEG signals was estimated.

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Authors and Affiliations

  1. Department of Information Technologies, Andijan State University named after Zahiriddin Muhammad Babur, Andijan, Uzbekistan

    Mukhriddin Abduganiev & Rakhimjon Azimov

  2. Department of Methodology of Primary Education, Andijan State University named after Zahiriddin Muhammad Babur, Andijan, Uzbekistan

    Lazizbek Muydinov

Authors
  1. Mukhriddin Abduganiev
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  2. Rakhimjon Azimov
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  3. Lazizbek Muydinov
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Corresponding author

Correspondence to Mukhriddin Abduganiev .

Editor information

Editors and Affiliations

  1. Tashkent University Information Technologies, Tashkent, Uzbekistan

    Hakimjon Zaynidinov

  2. Oregon Institute of Technology, Klamath Falls, USA

    Madhusudan Singh

  3. Indian Institute of Information Technology, Allahabad, India

    Uma Shanker Tiwary

  4. Hankuk University of Foreign Studies, Yongin, Korea (Republic of)

    Dhananjay Singh

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Abduganiev, M., Azimov, R., Muydinov, L. (2023). Digital Processing Algorithms of Biomedical Signals Using Cubic Base Splines. In: Zaynidinov, H., Singh, M., Tiwary, U.S., Singh, D. (eds) Intelligent Human Computer Interaction. IHCI 2022. Lecture Notes in Computer Science, vol 13741. Springer, Cham. https://doi.org/10.1007/978-3-031-27199-1_3

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  • DOI: https://doi.org/10.1007/978-3-031-27199-1_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-27198-4

  • Online ISBN: 978-3-031-27199-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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