NDLI: Stationarity and variability in eyes open and eyes closed EEG signals from able-bodied and spinal cord injured persons

Content Provider	IEEE Xplore Digital Library
Author	Tran, Y. Thuraisingham, R. Craig, A. Hung Nguyen
Copyright Year	2012
Description	Author affiliation: Key Univ. Res. Centre in Health Technol., Univ. of Sydney, Sydney, NSW, Australia (Tran, Y.) \|\| Rehabilitation Studies Unit, Univ. of Sydney, Sydney, NSW, Australia (Thuraisingham, R.; Craig, A.) \|\| Fac. of Eng. & Inf. Technol., Univ. of Technol., Sydney, Sydney, NSW, Australia (Hung Nguyen)
Abstract	This paper examines the assumption of stationarity used in EEG brain activity analyses, despite EEG data often being non-stationary. Transformations necessary to obtain stationary data from measured non-stationary EEG data and methods to assess non-stationarity are illustrated using eyes open (EO) and eyes closed (EC) data. The study shows that even short time EEG records of 10s duration exhibit non-stationary behavior. Examination of the change in variance when going from the EO to the EC state for both able bodied and spinal cord injured participants show that the difference in variance is consistently positive and statistically significant only when stationary data is used. This has implications for brain computer interfaces that utilizes changes in EO and EC EEG signals.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	2861
Ending Page	2864
File Size	705673
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6346560
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Correlation Time series analysis Educational institutions Spinal cord Switches Sleep
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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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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