WSEAS Transactions on Information Science and Applications
Print ISSN: 1790-0832, E-ISSN: 2224-3402
Volume 17, 2020
Removing Artifacts From EEG Signal Using Wavelet Transform and Conventional Filters
Authors: Meryem Felja, Asmae Bencheqroune, Mohammed Karim, Ghita Bennis
Abstract: the electroencephalogram (EEG) is a signal of an electrical nature reflecting the neuronal activities of the brain. It is used for the diagnosis of certain cerebral pathologies. However, it becomes more difficult to identify and analyze it when it is corrupted by artifacts of non-cerebral origin such as eye movements, cardiac activities ..., therefore, it is essential to remove these parasitic signals. In literature, there are different techniques for removing artifacts. This paper proposes and discusses a new EEG de-noising technique, based on a combination of wavelet transforms and conventional filters. The experimental results demonstrate that the proposed approach can be an effective tool for removing artifact without suppression of any signal components.
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Keywords: EEG signal, artifacts, de-noising, wavelet transform, conventional filters
Pages: 177-183
DOI: 10.37394/23209.2020.17.22
WSEAS Transactions on Information Science and Applications, ISSN / E-ISSN: 1790-0832 / 2224-3402, Volume 17, 2020, Art. #22