Using independent component analysis to remove artifact from electroencephalographic measured during stuttered speech

Tran, Y; Craig, A; Boord, P; Craig, D

Using independent component analysis to remove artifact from electroencephalographic measured during stuttered speech

Tran, Y

Craig, A

Boord, P Craig, D

Permalink

Publication Type:: Journal Article
Citation:: Medical and Biological Engineering and Computing, 2004, 42 (5), pp. 627 - 633
Issue Date:: 2004-09-01

Closed Access

	Filename	Description	Size
	2004000422.pdf		1.06 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Tran, Y https://orcid.org/0000-0002-1741-4205	en_US
dc.contributor.author	Craig, A https://orcid.org/0000-0001-7647-7604	en_US
dc.contributor.author	Boord, P	en_US
dc.contributor.author	Craig, D	en_US
dc.date.issued	2004-09-01	en_US
dc.identifier.citation	Medical and Biological Engineering and Computing, 2004, 42 (5), pp. 627 - 633	en_US
dc.identifier.issn	0140-0118	en_US
dc.identifier.uri	http://hdl.handle.net/10453/4177
dc.description.abstract	The electro-encephalographic (EEG) activity of people who stutter could provide invaluable information about the association of neural processing and stuttering. However, the EEG has never been adequately studied during speech in which stuttering naturally occurs. This is owing, in part, to the masking of the EEG signal by artifact from sources such as the speech musculature and from ocular activity. The aim of this paper was to demonstrate the ability of independent component analysis (ICA) to remove artifact from the EEG of stuttering children recorded while they are speaking and stuttering. The EEG of 16 male children who stuttered and 16 who did not stutter was recorded during a reading task. The recorded EEG that contained artifact was then subjected to ICA. The results demonstrated that the EEG assessed during stuttered speech had substantially more noise than the EEG of speech that did not contain stuttering (p < 0.01). Furthermore, it was shown that ICA could effectively remove this artifact in all 16 children (p < 0.01). The results from one child highlight the findings that ICA can be used to remove dominant artifact that has prevented the study of EEG activity during stuttered speech in children. © IFMBE: 2004.	en_US
dc.relation	http://purl.org/au-research/grants/arc/LE0454081
dc.relation.ispartof	Medical and Biological Engineering and Computing	en_US
dc.relation.isbasedon	10.1007/BF02347544	en_US
dc.subject.classification	Biomedical Engineering	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Stuttering	en_US
dc.subject.mesh	Electroencephalography	en_US
dc.subject.mesh	Artifacts	en_US
dc.subject.mesh	Algorithms	en_US
dc.subject.mesh	Signal Processing, Computer-Assisted	en_US
dc.subject.mesh	Adolescent	en_US
dc.subject.mesh	Child	en_US
dc.subject.mesh	Male	en_US
dc.title	Using independent component analysis to remove artifact from electroencephalographic measured during stuttered speech	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	42	en_US
utslib.for	090305 Rehabilitation Engineering	en_US
utslib.for	0903 Biomedical Engineering	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	Melbourne, Australia
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.issue	5	en_US
pubs.publication-status	Published	en_US
pubs.volume	42	en_US

Abstract:

The electro-encephalographic (EEG) activity of people who stutter could provide invaluable information about the association of neural processing and stuttering. However, the EEG has never been adequately studied during speech in which stuttering naturally occurs. This is owing, in part, to the masking of the EEG signal by artifact from sources such as the speech musculature and from ocular activity. The aim of this paper was to demonstrate the ability of independent component analysis (ICA) to remove artifact from the EEG of stuttering children recorded while they are speaking and stuttering. The EEG of 16 male children who stuttered and 16 who did not stutter was recorded during a reading task. The recorded EEG that contained artifact was then subjected to ICA. The results demonstrated that the EEG assessed during stuttered speech had substantially more noise than the EEG of speech that did not contain stuttering (p < 0.01). Furthermore, it was shown that ICA could effectively remove this artifact in all 16 children (p < 0.01). The results from one child highlight the findings that ICA can be used to remove dominant artifact that has prevented the study of EEG activity during stuttered speech in children. © IFMBE: 2004.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/4177