NDLI: Removal of Muscle Artifacts from EEG Recordings of Spoken Language Production

Content Provider	Springer Nature Link
Author	Vos, De Maarten Riès, Stephanie Vanderperren, Katrien Vanrumste, Bart Alario, Francois Xavier Huffel, Van Sabine Burle, Boris
Copyright Year	2010
Abstract	Research on the neural basis of language processing has often avoided investigating spoken language production by fear of the electromyographic (EMG) artifacts that articulation induces on the electro-encephalogram (EEG) signal. Indeed, such articulation artifacts are typically much larger than the brain signal of interest. Recently, a Blind Source Separation technique based on Canonical Correlation Analysis was proposed to separate tonic muscle artifacts from continuous EEG recordings in epilepsy. In this paper, we show how the same algorithm can be adapted to remove the short EMG bursts due to articulation on every trial. Several analyses indicate that this method accurately attenuates the muscle contamination on the EEG recordings, providing to the neurolinguistic community a powerful tool to investigate the brain processes at play during overt language production.
Starting Page	135
Ending Page	150
Page Count	16
File Format	PDF
ISSN	15392791
Journal	Neuroinformatics
Volume Number	8
Issue Number	2
e-ISSN	15590089
Language	English
Publisher	Humana Press Inc
Publisher Date	2010-05-18
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	EEG ERP EMG Artifact BSS Speech production Computational Biology/Bioinformatics Biotechnology Neurology Computer Application in Life Sciences Neurosciences
Content Type	Text
Resource Type	Article
Subject	Neuroscience Information Systems Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Erratum to: Removal of Muscle Artifacts from EEG Recordings of Spoken Language Production

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