| Project/Area Number |
22560425
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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 |
Measurement engineering
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| Research Institution | Saitama Institute of Technology |
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Principal Investigator |
CAO Jianting 埼玉工業大学, 工学部, 教授 (20306989)
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| Co-Investigator(Renkei-kenkyūsha) |
TANAKA Toshihisa 東京農工大学, 共生科学技術研究科, 准教授 (70360584)
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| Project Period (FY) |
2010 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2012: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2011: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2010: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 信号処理 / 脳波 / 脳死判定 / 脳信号処理 / 複雑度計量と識別 / 脳波エネルギー計量と識別 / オンラインシステム |
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| Research Abstract |
In this study, firstly we have measured 25 qusai-brain-deaths (either coma patient or brain death) by 64 sections in the hospital affiliated to Fudan University. These data sets are valuable and very important to improve this research project. Next, we have developed noise reduction algorithms such as ICA for the weak brain activity analysis, also developed ApEn based complexity criterion, and EMD based EEG energy criterion for evaluation of brain death. Applied the developed algorithms to the real measured EEG data, we obtain the data analysis results are identical to the ones that are achieved by clinical doctor. These results are reported in the journal, international conference, and an academic book. In theses results, the publication L. Li, Y. Xia, B. Jelfs, Jianting Cao and D. P. Mandic “Modelling of Brain Consciousness based on Collaborative Adaptive Filters” is obtained The BEST STUDENT PAPER AWARD from the International Neural Network Society.
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