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Article . 2023
License: CC BY
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Global Journal of Engineering and Technology Advances
Article . 2023 . Peer-reviewed
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A review for filtering techniques of the Electrooculography (EOG) signals

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

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

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

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

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green