| Project/Area Number |
11680850
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Biomedical engineering/Biological material science
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| Research Institution | TOKYO DENKI UNIVERSITY |
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Principal Investigator |
UCHIKAWA Yoshinori COLLEGE OF SCIENCE AND ENGINEERING, PROFESSOR, 理工学部, 教授 (90147455)
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| Co-Investigator(Kenkyū-buntansha) |
KOBAYASHI Koichiro APPLIED SUPERCONDUCTIVITY RESEARCH LABORATORY, INSTRUCTOR, 超電導応用研究所, 助手 (60277233)
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| Project Period (FY) |
1999 – 2000
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| Project Status |
Completed (Fiscal Year 2000)
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| Budget Amount *help |
¥2,200,000 (Direct Cost: ¥2,200,000)
Fiscal Year 2000: ¥1,000,000 (Direct Cost: ¥1,000,000)
Fiscal Year 1999: ¥1,200,000 (Direct Cost: ¥1,200,000)
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| Keywords | magnenetoencephalogram / MEG / 3-D vector maesurement / inverse problem / multiple source estimation / singular value decomposition / time-frequency analysis / 三次元ベクトル計側 / SQUID磁束計 / 周波数解析 |
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| Research Abstract |
In the research on the magnetoencephalogaram (MEG) measurement the magnetic field perpendicular to the scalp is widely used. There are problems of separating multiple sources overlapping in time when many distinct areas of the cortex are active. In these cases the magnetic field distribution of normal component is not helpful for estimating the location and number of sources. owing to the lack of a dipole pattern. From viewponit of waveform analysis, it is also desired a certain method to detect the transient weak signal hid by the intense signal. Concerning to overcom the previous ploblems, new methodology is necessary to develop in both of not only signal processing but also SQUID instrumentation. First, we have developed a three dimensional (3-D) second-order gradiometer connected to three superconducting quantum interference devices (SQUIDs) for vector measurement of the MEG that can detect magnetic field components perpendicular and tangential to the scalp simultaneously. Second, we proposed a new method of source estimation algorithm using spatio-temporal data of 3-D MEG and singular value decomposition analysis. In this algorithm the number of sources are decided by number of dominant singular value of spatio-temporal 3-D MEG data. The source localization is done as pattern matching by signal subspace of singular vectors and projection of an estimating source.This proposed method can estimate two and/or three sources overlapping in time, which are 2 cm apart and 15 degree in phase difference. effectively.
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