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

神经信息表现在人类大脑和身体的脑电、眼电和肌电中。本研究的目的是通过对上述脑电、EOG和EMG的观察，提取神经信息的详细信息，量化精神活动的程度，即意识和睡眠。我们的研究小组已经发展了关于睡眠量化的基本结果。为了分析睡眠结构，研究了睡眠脑电的显著特征--纺锤波。采用改进的波形分析方法对纺锤波进行分析，提出了五种纺锤波检测方法，每种方法都有各自的特征值。在这些方法中，一种相对简单实用的方法被开发出来，我们称之为改进的复数解调(CD)方法。改进的CD法计算了睡眠纺锤波的精确频率，睡眠纺锤波是随机意义上的非平稳时间序列。应用这种方法将叠加的睡眠纺锤波分解成各自的纺锤波。此外，我们可以估计各个纺锤波的准确频率。因此，该方法是分析这类非平稳叠加波的一种新的强有力的工具。我们制作了一个纺锤波模型，它作为波在头皮上传播。本研究首先应用频率波数mthpd进行分析。我们正在计划下一个项目，以澄清慢脑电波的特征。

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.