A quick survey of EEG signal noise removal methods
Department Electrical Engineering, College of Engineering, Al-Iraqia University, Baghdad, Iraq.
Review Article
Global Journal of Engineering and Technology Advances, 2022, 11(03), 098–104.
Article DOI: 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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