Development Studies of Measuring and Processing Systgem of EEG Activity during Orking and Sleeping

睡眠时脑电活动测量与处理系统的开发研究

基本信息

批准号：
61850055
负责人：
ISHII Naohiro
金额：
$ 3.26万
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
财政年份：
1986
资助国家：
日本
起止时间：
1986 至 1987
项目状态：
已结题

项目摘要

The purpose of the EEG( electroencephalography ) analysis is to exitract the importand information from the brain state and the brain functgion.In the frequency domain, power spectrum methods are often used by dividing the total frequency range into several bandwidths. In the time domain, Fujimoris analysis has been developed to characterize the EEG waves as an extension of the zero- crossing method. In this study, the wave recognition method has been developed with consideration of the wave direction. The wave direction implies computation of the amplitude of the EEG wave from both the bottom and the peak of waves. The method here improves the recognition rate of the waves. Next, the EEG datga have been sampled under the 100 Hz method contrary to the conventional 1 KHz sampling method. After the 100 Hz sampling, an interporation function was applied, The method developed here greatly improves the EEG data reduction and shows good results of the characterization of the sleeping EEG waves. These studies are published as paper titles " Studies of waveform recognition in the EEG analysis","Measurement method for frequency analysis of spindle waves in EEG". For the further study of the frequency analysis of the sleep spindle waves, we applied the Hilbert transform method measuring the instantaneous frequency of the spindle waves. The Hilbert method is said to be weak in the data which are disturbed by noise. But in our spindle anlysis, the wave is limitted in the frequency bandwidths. This produces good results in the frequency analysis of the spindle waves. E applied these methods developed here to the EEG data. it was clarified that these methods are usefull in the EEG analysis and monstationary data.

脑电图（脑电图）分析的目的是从大脑状态和大脑功能中出口进口和信息。在频域中，通常通过将总频率范围分为几个带宽来使用功率谱法。在时域中，已经开发了富士式分析来将脑电图表征为零交叉方法的扩展。在这项研究中，已经考虑了波动方向的波浪识别方法。波方向意味着从波的底部和峰值计算了脑电图的振幅。这里的方法提高了波浪的识别率。接下来，与常规1 kHz采样方法相反的100 Hz方法对EEG数据进行了采样。在100 Hz采样后，应用了一个相互作用的函数，此处开发的方法大大改善了脑电图的数据降低，并显示了睡眠脑电图的表征的良好结果。这些研究被发表为纸质标题“在脑电图分析中的波形识别的研究”，《脑主轴波频率分析的测量方法》。为了进一步研究睡眠主轴波的频率分析，我们应用了测量主轴波的瞬时频率的希尔伯特变换方法。据说希尔伯特方法在被噪声打扰的数据中很弱。但是在我们的纺锤体厌食症中，波浪在频率带宽中受到限制。这在主轴波的频率分析中产生了良好的结果。 E应用了此处开发的这些方法到EEG数据。可以澄清的是，这些方法在EEG分析和Monstationary数据中很有用。