1992 Fiscal Year Final Research Report Summary
Developmental Study on Measuring, Recording & Procession System of EEG during Working and Sleep
| Project/Area Number |
03555068
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| Research Category |
Grant-in-Aid for Developmental Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
電子通信系統工学
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| Research Institution | Nagoya Institute of Technology |
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Principal Investigator |
ISHII Naohiro Nagoya Inst.Tec.Dep.Eng Professor, 工学部, 教授 (50004619)
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| Co-Investigator(Kenkyū-buntansha) |
IGUCHI Hirokazu Toyota Cent.Res.Dev. Researcher, 開発部, 研究員
UEDA Yoshikazu Ibaraki Univ.Dep.Eng Lecturer, 工学部, 講師 (00213372)
NIWA Toshiyuki Chukyo Univ.Dep.Soc Professor, 社会学部, 教授 (00024266)
IWATA Akira Nagoya Inst.Tec.Dep.Eng Professor, 工学部, 助教授 (10093098)
SUZUMURA Nobuo Chubu Univ.Dep.Eng Professor, 工学部, 教授 (10023102)
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| Project Period (FY) |
1991 – 1992
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| Keywords | EEG Processing / Rhythm of Biological / Nonstationary Analysis / Wavelet transform / Complex Demodulation / Analysis of Spindle Wave / Analysis of Sharp Wave / Processing of Biological System |
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| Research Abstract |
The electrical activity of the human brain has been studied extensively since the discovery of the EEG(electroencephalogram). The EEG monitors the nerophysiological activity of the central nervous system and are sensitive to both organic and psychological changes. The awake and sleep EEG show the brain states in the working and resting, respectively. In order to find the detailed information from the EEG, doctors carefully investigate wave- forms of the EEG from every direct ions. It is desirable to estimate the states of the human brain in the working and the sleep. Thus, we tried to analyze the EEG waves in the detail to extract significant information from it. Sleep spindles and slow waves, aperiodic wave-forms found in sleep EEG, are distinctive parameters to judge the sleep stages by the standardized scoring manual of sleep. These waves are nonstationary and transient signals from the view of stochastic time series. The first purpose of this study is to present a computational procedure of Complex Demodulation in the time domain for the quantification of sleep spindles in sleep EEG. In this study, we developed a computational procedure of the repeated use of Complex Demodulation to resolve an important unsolved technique problem in the Complex Demodulation which is how to choose the demodulating frequency. Next, we propose a procedure of Complex Demodulation in the frequency domain by means of the fast Fourier transform for fast processing.
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