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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EEG（脑电图）发现以来，人类大脑的电活动得到了广泛的研究。脑电图监测中枢神经系统的神经生理活动，对器质性和心理性变化都很敏感。清醒和睡眠脑电图分别显示工作和休息时的大脑状态。为了从脑电图中找到详细信息，医生仔细研究每个直接离子的脑电图波形。期望估计人脑在工作和睡眠中的状态。因此，我们尝试详细分析脑电图波，以从中提取重要信息。睡眠纺锤波和慢波是睡眠脑电图中发现的非周期性波形，是睡眠标准化评分手册判断睡眠阶段的独特参数。从随机时间序列的角度来看，这些波是非平稳的瞬态信号。本研究的第一个目的是提出时域复杂解调的计算程序，用于量化睡眠脑电图中的睡眠纺锤波。在本研究中，我们开发了一种重复使用复数解调的计算程序，以解决复数解调中一个重要的未解决的技术问题，即如何选择解调频率。接下来，我们提出了一种通过快速傅立叶变换进行频域复数解调的过程，以实现快速处理。