NDLI: Analysis of correlated EEG activity during motor imagery for brain-computer interfaces

Content Provider	IEEE Xplore Digital Library
Author	Yoon Gi Chung Jae Hwan Kang Sung-Phil Kim
Copyright Year	2011
Description	Author affiliation: Department of Brain and Cognitive Engineering, Korea University, Seoul, 136-713, Korea (Yoon Gi Chung; Jae Hwan Kang; Sung-Phil Kim)
Abstract	Overall accuracy of noninvasive brain-computer interfaces (BCIs) based on motor imagery electroencephalography (EEG) is highly dependent on the extraction of features from the oscillation of sensorimotor rhythms (SMRs) during imagination of movements. In this study, we statistically evaluated whole-brain connectivity using the measurement of linear correlation coefficients (CCs) between EEG channel pairs instead of using conventional spectral analysis. We showed distinct patterns of temporal variations of CCs of all channel pairs and significant channel connections for four motor imageries, including left hand, right hand, both feet, and tongue, in two subjects. Contralateral connectivity was observed in the motor imagery of left and right hands, whereas central connectivity was observed in the motor imagery of both feet. Our results suggest to the implementation of the state-of-the-art BCIs based on whole-brain channel connectivity in motor imagery.
Starting Page	337
Ending Page	341
File Size	1028153
Page Count	5
File Format	PDF
ISBN	9781457708350
ISSN	20937121
e-ISBN	9788993215038
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-26
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	ICROS
Subject Keyword	correlation coefficients electroencephalography (EEG) Image segmentation Tongue Correlation connectivity Feature extraction Time frequency analysis motor imagery Electroencephalography Brain-computer interfaces (BCIs) Brain computer interfaces
Content Type	Text
Resource Type	Article

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