Artifact removal and brain rhythm decomposition for eeg signal using wavelet approach

• Main Authors: Sayed Daud, Syarifah Noor Syakiylla, Sudirman, Rubita
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2016
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/71386/1/RubitaSudirman2016_Artifactremovalandbrainrhythm.pdf; http://eprints.utm.my/id/eprint/71386/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979670171&doi=10.11113%2fjt.v78.9460&partnerID=40&md5=1cf26811458bba3a47be91a4778b4c39

This recent study introduces and discusses briefly the use of wavelet approach in removing the artifacts and extraction of features for electroencephalography (EEG) signal. Many of new approaches have been discovered by the researcher for processing the EEG signal. Generally, the EEG signal processi...