Study of Neural Information Processing by Spacial-Temporal Computation of Electroencephalogram, Electrooculogram and Electromyogram

脑电图、眼电图、肌电图时空计算的神经信息处理研究

基本信息

批准号：
01550328
负责人：
ISHII Naohiro
金额：
$ 1.34万
依托单位：
Nagoya Institute of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (C)
财政年份：
1989
资助国家：
日本
起止时间：
1989 至 1990
项目状态：
已结题

项目摘要

Neural information is represented in the electroencephalogram, electrooculogram, and electromyogram on the human brain and body. The purpose of this study is to extract the detailed information of the neural information and to quantify levels of mental activity, that is, consciousness and sleep, by the observation of the above EEG, EOG and EMG. Our research group has developed the fundamental results about quantification of sleep. To analyze the sleep structure, spindle waves were studied, which are prominent feature of sleep EEG. The spindle waves are analyzed by improved wave analysis methode, developed by our study.In this study, we proposed five detective methods of spindles, each of which is characterized with respective feature values. Among these methods, a relatively simple and useful method was developed which we call the improved Complex Demoduration (CD) method. The improved CD method caluculated the exact frequency of the sleep spindle waves, which are a nonstationary time series in the stochastic sense. Superposed sleep spindles are decomposed into respective spindles by applying this method. Further, we can estimate the exact frequency of the respective spindle waves. Thus this method is a new and powerful tool to analyze such nonstationary and superposed waves. We have made a spindle wave model, which propagates as the wave on the scalp. This study was first anlyzed by applying Frequency Wave Number mthpd. We are planning next a project to clarify the characteristics of slow EEG waves.

神经信息在人脑和身体的脑电图，电解图和肌电图中表示。这项研究的目的是通过观察上述EEG，EOG和EMG来提取神经信息的详细信息，即量化心理活动水平，即意识和睡眠。我们的研究小组开发了有关睡眠量化的基本结果。为了分析睡眠结构，研究了主轴波，这是睡眠脑电图的重要特征。通过我们的研究开发的改进的波浪分析对主轴波进行分析。在这项研究中，我们提出了五种纺锤体的侦探方法，每种纺锤体都以各自的特征值进行了表征。在这些方法中，开发了一种相对简单且有用的方法，我们称之为改进的复杂解脱（CD）方法。改进的CD方法将睡眠主轴波的确切频率归为二元，这是随机意义上的非平稳时间序列。通过应用此方法将超封闭的睡眠纺锤分解为各自的纺锤体。此外，我们可以估计各自的纺锤波的确切频率。因此，该方法是一种新的强大工具，可以分析这种非平稳性和超级波浪。我们制作了一个主轴波模型，该模型作为头皮上的波传播。这项研究首先是通过应用频率波数MTHPD分隔的。我们接下来计划一个项目，以阐明慢性脑电图的特征。