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Developmental Study on Measuring, Recording & Procession System of EEG during Working and Sleep

测量、记录的发展研究

基本信息

批准号：
03555068
负责人：
ISHII Naohiro
金额：
$ 3.65万
依托单位：
Nagoya Institute of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Developmental Scientific Research (B)
财政年份：
1991
资助国家：
日本
起止时间：
1991 至 1992
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-03555068/
关键词：
EEG Processing Rhythm of Biological Nonstationary Analysis Wavelet transform Complex Demodulation Analysis of Spindle Wave Analysis of Sharp Wave Processing of Biological System 脳波活動の計測・処理神経系の情報処理睡眠脳波脳波処理徐波の検出と処理 Complex Demo

项目摘要

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.

自从脑电图（EEG）被发现以来，人们对人脑的电活动进行了广泛的研究。EEG监测中枢神经系统的神经生理活动，对器质性和心理变化都很敏感。清醒和睡眠脑电图分别反映了工作和休息时的大脑状态。为了从脑电中发现详细的信息，医生们仔细研究了每一个直接离子的脑电波形。人们希望估计人脑在工作和睡眠时的状态。因此，我们试图对脑电波形进行详细的分析，从中提取有意义的信息，睡眠纺锤波和慢波是睡眠脑电中的非周期波形，是标准化睡眠评分手册中判断睡眠阶段的独特参数。从随机时间序列的观点来看，这些波是非平稳的和瞬态的信号。本研究的第一个目的是提出一个计算程序的复杂解调在时域的量化睡眠纺锤波在睡眠脑电图。本文针对复解调中一个尚未解决的重要技术问题--解调频率的选择问题，提出了复解调重复使用的计算方法。接下来，我们提出了一个复杂的解调过程中，在频域的快速傅立叶变换的快速处理。