 |
 JBiomag2003 Reports |
| Two posters related to BioGrid project were presented at the 18th Annual Conference
of Japan Biomagnetism and Bioelectromagnetics Society held at Ikeda City Center,
Osaka from May. 30 to 31 |
Date: May 30-31, 2003
Place: Ikeda City Center(Ikeda Osaka)
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| Poster Presentation |
- Clustering Analysis of MEG Data using Independent Component Analysis (ICA)
- A Study on New Computing Infrastructure for MEG Using Grid Technology
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Clustering Analysis of MEG Data using Independent Component Analysis
(ICA)
Takeshi Kaishima:
Graduate School of Information Science and Technology, Osaka University |
[Abstract]
Independent Component Analysis (ICA) is a signal processing method to extract
independent sources given only observed data. Until recently, ICA have been mainly
applied to denoising or identifying event-related signals, however, there are
few
applications to actual diagnosis targeted for clinical use. In this paper, we
aim to
realizing a diagnosis support system intended for MEG data of epileptic patient
using
both clustering analysis and grid technology.
Poster(PDF) |
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A Study on New Computing Infrastructure for MEG Using Grid Technology
Takahiro Kosaka : Graduate School of Information Science and Technology, Osaka
University |
[Abstract]
MEG is a noninvasive measurement method of brain activity. This method
is superior to the others in its high temporal resolution. However,
there remains some problems in utilization of current MEG system: its
cost of installation/maintenance and computational time of highly
detailed analysis. The goal of our research is the construction of an
computing infrastructure which enables us to share MEG system via
networking and to integrate large-scale analysis and effective
visualization. At JBiomag2003, We presented our activity in SC2002,
held at Baltimore, U.S., in which we demonstrated the connectivity of
MEG to Grid and online-analysis of MEG data.
Poster(PDF) |
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