NDLI: Independent component analysis with mixture density model and its application to localize the brain alpha activity in fMRI and EEG

Content Provider	IEEE Xplore Digital Library
Author	Jeong-Won Jeong Tae-Seong Kim Singh, M.
Copyright Year	2002
Description	Author affiliation: Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA (Jeong-Won Jeong; Tae-Seong Kim)
Abstract	Recently, independent component analysis (ICA) has been introduced to solve the blind source separation problem. In the original and extended versions of ICA, nonlinearity functions are fixed to have specific forms such as supergaussian or subgaussian, limiting their performance. In this paper, we utilized ICA with mixture density model such that any assumption about the source density is not required, thus better separation is possible by matching flexible parametric nonlinearity to any kind of density of sources. Through simulation studies, the algorithm was validated and its better performance was demonstrated in comparison to other versions of ICA. Then mixture density ICA was applied to functional magnetic resonance imaging (fMRI) and electroencephalogram (EEG) data to localize the independent sources for alpha activity. We found that there is a strong spatial correlation between the sources in fMRI and EEG, proving the usefulness of our approach in its application to source separation problem in biomedical signal processing.
Starting Page	1897
Ending Page	1901
File Size	505586
Page Count	5
File Format	PDF
ISBN	0780373243
ISSN	10823654
DOI	10.1109/NSSMIC.2001.1009194
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-11-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Independent component analysis Brain modeling Electroencephalography Magnetic resonance imaging Biomedical measurements Biomedical engineering Blind source separation Signal processing algorithms Source separation Spatial resolution
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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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