A review for filtering techniques of the Electrooculography (EOG) signals

Aws M Abdullah; Ali R Ibrahim; Ammar A Al-Hamadani; Mohammed K Al-Obaidi; Anas F Ahmed

doi:10.30574/gjeta.2023.16.3.0177

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A review for filtering techniques of the Electrooculography (EOG) signals

Aws M Abdullah ¹, Ali R Ibrahim ², Ammar A Al-Hamadani ³, Mohammed K Al-Obaidi ^{4, *} and Anas F Ahmed ⁴

1 Al-Sharia Department, University of Baghdad, Baghdad, Iraq.

2 Medical Devices Technology Engineering, Alsalam University College, Baghdad, Iraq.

3 Department of Computer Engineering, College of Engineering, Al-Iraqia University, Baghdad, Iraq.

4 Department of Electrical Engineering, College of Engineering, Al-Iraqia University, Baghdad, Iraq.

Research Article

Global Journal of Engineering and Technology Advances, 2023, 16(03), 163–171.

Article DOI: 10.30574/gjeta.2023.16.3.0177

DOI url: https://doi.org/10.30574/gjeta.2023.16.3.0177

Publication history

Received on 02 August 2023; revised on 14 August 2023; accepted on 16 August 2023

Abstract

Electrooculography (EOG) is a non-invasive method employed for the measurement of the electrical potential produced by ocular movements. EOG signals frequently encounter contamination from diverse forms of interference, thereby impeding precise analysis and interpretation. In order to address these obstacles, numerous filtering methodologies have been devised to ameliorate the quality of EOG signals. The objective of this paper is to examine the filtering techniques commonly employed for EOG signals, elucidating their respective benefits and limitations.

Keywords

Electrooculography; EOG; De-noising; Independent Component Analysis; Wavelet Transform

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How to cite this article

Aws M Abdullah, Ali R Ibrahim, Ammar A Al-Hamadani, Mohammed K Al-Obaidi and Anas F Ahmed. A review for filtering techniques of the Electrooculography (EOG) signals. Global Journal of Engineering and Technology Advances, 2023, 16(3), 163-171. Article DOI: https://doi.org/10.30574/gjeta.2023.16.3.0177

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