NDLI: Independent component analysis of electroencephalographic signals

Content Provider	IEEE Xplore Digital Library
Author	Minfen Shen Xinjun Zhang Xianhui Li
Copyright Year	2002
Description	Author affiliation: Sci. Technol. Center, Shantou Univ., Guangdong, China (Minfen Shen; Xinjun Zhang; Xianhui Li)
Abstract	This paper discusses the independent component analysis (ICA) technique and its applications to the analysis of Electroencephalographic (EEG) signal. ICA of a random vector consists of searching for a linear transformation that minimizes the statistical dependence between its components. For the EEG interpretation and analysis, there are some artifacts problems when rejecting contaminated EEG segments results in an unacceptable data loss. The ICA filters trained on EEG data collected during these sessions identified statistically independent source channels which could then be further processed using event-related potential (ERP), event-related spectral perturbation (ERSP), and other signal processing techniques. In this paper some applications of ICA are described and its application to the EEG recordings from the human brain is demonstrated.
Sponsorship	Chinese Inst. Electron. IEEE Signal Process. Soc. IEEE URSI IEEE Beijing Sect. Nat. Natural Sci. Found. China China Committee for URSI IEEE Comput. Soc. Beijing Chapter IEEE SP Soc. Beijing Chapter
Starting Page	1548
Ending Page	1551
File Size	244583
Page Count	4
File Format	PDF
ISBN	0780374886
DOI	10.1109/ICOSP.2002.1180091
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-08-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Independent component analysis Electroencephalography Signal processing Signal processing algorithms Signal analysis Enterprise resource planning Source separation Blind source separation Decorrelation Principal component analysis
Content Type	Text
Resource Type	Article

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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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