Using invariant translation to denoise electroencephalogram signals
Article
Article Title | Using invariant translation to denoise electroencephalogram signals |
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ERA Journal ID | 1161 |
Article Category | Article |
Authors | Walters-Williams, Janett (Author) and Li, Yan (Author) |
Journal Title | American Journal of Applied Sciences |
Journal Citation | 8 (11), pp. 1122-1130 |
Number of Pages | 9 |
Year | 2011 |
Place of Publication | New York, NY. United States |
ISSN | 1546-9239 |
1554-3641 | |
Digital Object Identifier (DOI) | https://doi.org/10.3844/ajassp.2011.1122.1130 |
Web Address (URL) | http://thescipub.com/abstract/10.3844/ajassp.2011.1122.1130 |
Abstract | Problem statement: Because of the distance between the skull and the brain and their different resistivity's, Electroencephalogram (EEG) recordings on a machine is usually mixed with the activities generated within the area called noise. EEG signals have been used to diagnose major brain diseases such as Epilepsy, narcolepsy and dementia. The presence of these noises however can result in misdiagnosis, as such it is necessary to remove them before further analysis and processing can be done. Denoising is often done with Independent Component Analysis algorithms but of late Wavelet Transform has been utilized. |
Keywords | translation invariant wavelet transform; independent component analysis; electroencephalogram; mean square error (MSE); second order statistics (SOS); signal to noise ratio (SNR); discrete wavelet transform (DWT) |
ANZSRC Field of Research 2020 | 490302. Numerical analysis |
400607. Signal processing | |
320222. Radiology and organ imaging | |
Public Notes | © 2011 Science Publications. This publication is copyright. It may be reproduced in whole or in part for the purposes of study, research, or review, but is subject to the inclusion of an acknowledgment of the source. Deposited with blanket permission of publisher. |
Byline Affiliations | University of Technology, Jamaica |
Department of Mathematics and Computing | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q0z16/using-invariant-translation-to-denoise-electroencephalogram-signals
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