| Project/Area Number |
12559012
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 展開研究 |
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| Research Field |
広領域
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| Research Institution | RIKEN |
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Principal Investigator |
HORI Gen RIKEN, Lab. for Advanced Brain Signal Processing, Researcher, 脳信号処理研究チーム, 研究員 (60322658)
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| Co-Investigator(Kenkyū-buntansha) |
MIZUNO Yoshikuni Juntendo Univ., School of Medicine, Professor, 医学部・脳神経内科, 教授 (30049043)
ANDRZEI Cichocki 理化学研究所, 脳信号処理研究チーム, チームリーダー(研究職)
AMARI Shun-ichi RIKEN, Lab. for Mathematical Neuroscience, Director, 脳数理研究チーム, グループディレクター(研究職) (80010726)
AIHARA Kazuyuki Univ. of Tokyo, Faculty of Engineering, Professor, 大学院・新領域創成研究科, 教授 (40167218)
OKUMA Yasuyuki Juntendo Univ., School of Medicine, Associate Professor, 医学部・脳神経内科, 助教授 (90185231)
CICHOCKI Andrzej RIKEN, Lab. for Advanced Brain Signal Processing, Team Leader
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| Project Period (FY) |
2000 – 2001
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| Project Status |
Completed (Fiscal Year 2001)
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| Budget Amount *help |
¥8,700,000 (Direct Cost: ¥8,700,000)
Fiscal Year 2001: ¥1,800,000 (Direct Cost: ¥1,800,000)
Fiscal Year 2000: ¥6,900,000 (Direct Cost: ¥6,900,000)
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| Keywords | brain death / independent component analysis / EEG / signal processing / chaos / time series analysis |
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| Research Abstract |
For judgment of brain death based on EEG, it is required to confirm that the EEG of the subject is flat to conclude brain death. In the flat EEG examination, the contamination from ECG(signal from heart beat) and environment makes the judgment difficult. The present research showed that the signal processing method based on independent component analysis(ICA) can effectively remove such contamination from the EEG of the subject with presumed brain death.
Furthermore, the present study suggested that the methods of time series analysis based on the theory of chaos can be used to confirm that the residual EEG signals after ICA processing are not vital signs. Among methods of chaotic time series analysis, the Wayland test can judge the residual EEG signals robustly Also the software for analyzing EEG for judgment of brain death using ICA and time series analysis is developed. The software is equipped with GUl and aimed at use in practical judgment of brain death.
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