Performance analysis of IIR filter in removing PLI from EEG signal

  • Authors

    • Rayhan Habib Jibon Electronics and Communication Engineering, Khulna University
    • Etu Podder Electronics and Communication Engineering, Khulna University
    • Abdullah Al-Mamun Bulbul Electronics and Telecommunication Engineering, Bangabandhu Sheikh Mujibur Rahman Science & Technology University
    • Ramendra Nath Bairagi Electronics and Communication Engineering, Khulna University
    • Md. Salim Ahmed Electronics and Communication Engineering, Khulna University
    • Imtiaj Ahmmed Shohagh Electronics and Communication Engineering, Khulna University
    2019-03-28
    https://doi.org/10.14419/ijet.v7i4.26715
  • Chebyshev type II filter, EEG, Notch filter, PLI, SNR.

  • Abstract

    Electroencephalogram (EEG) is a non-incursive test and the electrical signals of the brain from the scalp is recorded by this test. Several diagnosis conditions (for example dizziness, epilepsy, head injuries, etc.) are checked by this test. Moreover, the information about the brain death is also be acquainted by the EEG test. EEG signals inherit the bandwidth of 1 to 50 Hz. So, these can be easily contaminated by different artifacts (such as power line interference (PLI), eye blink artifact, and electromyogram artifact). Out of these artifacts, 50 Hz PLI is the most salient. In this paper, IIR filters (Notch filter and Chebyshev type II filter) are configured to remove the PLI. Through the subsequent utilization of these filters, the artifact can be removed from the EEG signals in a notable amount. Thereby this approach will ensure the true information about detecting brain diseases and possibilities to know how many portions of the main signal is released from the artifact. Investigating the simulation results that includes the output waveforms and SNR values, it can be concluded that the Notch filter performs better than Chebyshev type II filter. This paper presents a comparison between two digital (Notch, Chebyshev type II) filters for removing PLI from EEG signal and helps to choose the best one from these two filters.

     

     

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  • How to Cite

    Habib Jibon, R., Podder, E., Al-Mamun Bulbul, A., Nath Bairagi, R., Salim Ahmed, M., & Ahmmed Shohagh, I. (2019). Performance analysis of IIR filter in removing PLI from EEG signal. International Journal of Engineering & Technology, 7(4), 5363-5367. https://doi.org/10.14419/ijet.v7i4.26715

    Received date: 2019-01-29

    Accepted date: 2019-03-04

    Published date: 2019-03-28