Show simple item record

dc.contributor.authorAsaduzzaman, K
dc.contributor.authorReaz, MBI
dc.contributor.authorMohd-Yasin, F
dc.contributor.authorSim, KS
dc.contributor.authorHussain, MS
dc.contributor.editorArabnia, HR
dc.date.accessioned2017-05-03T11:49:39Z
dc.date.available2017-05-03T11:49:39Z
dc.date.issued2010
dc.date.modified2012-09-04T23:19:23Z
dc.identifier.isbn978-1-4419-5912-6
dc.identifier.doi10.1007/978-1-4419-5913-3_65
dc.identifier.urihttp://hdl.handle.net/10072/40483
dc.description.abstractElectroencephalogram (EEG) serves as an extremely valuable tool for clinicians and researchers to study the activity of the brain in a non-invasive manner. It has long been used for the diagnosis of various central nervous system disorders like seizures, epilepsy, and brain damage and for categorizing sleep stages in patients. The artifacts caused by various factors such as Electrooculogram (EOG), eye blink, and Electromyogram (EMG) in EEG signal increases the difficulty in analyzing them. Discrete wavelet transform has been applied in this research for removing noise from the EEG signal. The effectiveness of the noise removal is quantitatively measured using Root Mean Square (RMS) Difference. This paper reports on the effectiveness of wavelet transform applied to the EEG signal as a means of removing noise to retrieve important information related to both healthy and epileptic patients. Wavelet-based noise removal on the EEG signal of both healthy and epileptic subjects was performed using four discrete wavelet functions. With the appropriate choice of the wavelet function (WF), it is possible to remove noise effectively to analyze EEG significantly. Result of this study shows that WF Daubechies 8 (db8) provides the best noise removal from the raw EEG signal of healthy patients, while WF orthogonal Meyer does the same for epileptic patients. This algorithm is intended for FPGA implementation of portable biomedical equipments to detect different brain state in different circumstances.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer
dc.publisher.placeNetherlands
dc.relation.ispartofbooktitleAdvances in Computational Biology
dc.relation.ispartofchapter65
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom593
dc.relation.ispartofpageto599
dc.rights.retentionY
dc.subject.fieldofresearchBiomedical and clinical sciences
dc.subject.fieldofresearchcode32
dc.titleA Study on Discrete Wavelet-based Noise Removal from EEG Signals
dc.typeBook chapter
dc.type.descriptionB1 - Chapters
dc.type.codeB - Book Chapters
gro.date.issued2010
gro.hasfulltextNo Full Text
gro.griffith.authorMohd-Yasin, Faisal


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

  • Book chapters
    Contains book chapters authored by Griffith authors.

Show simple item record