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Wavelet-Based Artifact Identification and Separation Technique for EEG Signals during Galvanic Vestibular Stimulation
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-01
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
We present a new method for removing artifacts in electroencephalography (EEG) records during Galvanic Vestibular Stimulation (GVS).
The main challenge in exploiting GVS is to understand how the stimulus acts as an input to brain.
We used EEG to monitor the brain and elicit the GVS reflexes.
However, GVS current distribution throughout the scalp generates an artifact on EEG signals.
We need to eliminate this artifact to be able to analyze the EEG signals during GVS.
We propose a novel method to estimate the contribution of the GVS current in the EEG signals at each electrode by combining time-series regression methods with wavelet decomposition methods.
We use wavelet transform to project the recorded EEG signal into various frequency bands and then estimate the GVS current distribution in each frequency band.
The proposed method was optimized using simulated signals, and its performance was compared to well-accepted artifact removal methods such as ICA-based methods and adaptive filters.
The results show that the proposed method has better performance in removing GVS artifacts, compared to the others.
Using the proposed method, a higher signal to artifact ratio of −1.625 dB was achieved, which outperformed other methods such as ICA-based methods, regression methods, and adaptive filters.
American Psychological Association (APA)
Adib, Mani& Cretu, Edmond. 2013. Wavelet-Based Artifact Identification and Separation Technique for EEG Signals during Galvanic Vestibular Stimulation. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-451182
Modern Language Association (MLA)
Adib, Mani& Cretu, Edmond. Wavelet-Based Artifact Identification and Separation Technique for EEG Signals during Galvanic Vestibular Stimulation. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-451182
American Medical Association (AMA)
Adib, Mani& Cretu, Edmond. Wavelet-Based Artifact Identification and Separation Technique for EEG Signals during Galvanic Vestibular Stimulation. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-451182
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-451182