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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.

脑电分析的目的是从脑状态和脑功能中提取重要的信息，在频域中，功率谱方法通常是将整个频带划分为若干个频带。在时域中，Fujimoris分析已经被开发来表征EEG波作为过零方法的扩展。在这项研究中，波识别方法已被开发与波方向的考虑。波方向意味着从波的底部和峰值计算EEG波的幅度。该方法提高了波形的识别率。其次，与传统的1KHz采样方法相反，在100Hz方法下对EEG数据进行了采样。在100 Hz采样后，应用插值函数，大大提高了EEG数据的处理效率，对睡眠EEG波形的特征化有较好的效果。这些研究以论文标题“Studies of waveform recognition in the EEG analysis”、“Measurement method for frequency analysis of spindle waves in EEG”发表。为了进一步研究睡眠纺锤波的频率分析，我们应用希尔伯特变换法测量了睡眠纺锤波的瞬时频率。希尔伯特方法被认为在受噪声干扰的数据中是弱的。但在我们的纺锤波分析中，波的频率带宽是有限的。这在主轴波的频率分析中产生良好的结果。E将这些方法应用于EEG数据。说明这些方法在脑电分析和非平稳数据处理中是有用的。