A quick survey of EEG signal noise removal methods

Anas Fouad Ahmed

doi:10.30574/gjeta.2022.11.3.0100

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A quick survey of EEG signal noise removal methods

Anas Fouad Ahmed ^*

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

Research Article

Global Journal of Engineering and Technology Advances, 2022, 11(03), 098–104.

Article DOI: 10.30574/gjeta.2022.11.3.0100

DOI url: https://doi.org/10.30574/gjeta.2022.11.3.0100

Publication history

Received on 17 May 2022; revised on 23 June 2022; accepted on 25 June 2022

Abstract

An Electroencephalogram (EEG) is produced as a consequence of the electrical voltage of neurons in the brain. The EEG signal is crucial for detecting brain activity and attitude. Because this signal has very low amplitude, it is easily corrupted by different artefacts. The study and analysis of brain signals in the presence of these artifacts is a challenging task. ECG, EOG, EMG, and motion are the popular artifacts that induce disturbance to the EEG signal. This survey paper emphasizes the artifact elimination methods with their substantial parameters that must be considered during the study of published research on this trend.

Keywords

Electroencephalogram; EEG Artifact Removal Method; Discrete Wavelet Transform; Principle Component Analysis; Mean Squared Error

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How to cite this article

Anas Fouad Ahmed. A quick survey of EEG signal noise removal methods. Global Journal of Engineering and Technology Advances, 2022, 11(3), 098-104. Article DOI: https://doi.org/10.30574/gjeta.2022.11.3.0100

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