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首页> 外文会议>2002 6th International Conference on Signal Processing Proceedings (ICSP'02) Vol.2; Aug 26-30, 2002; Beijing, China >The Time-Varying Coherent Analysis of Medical Signals
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The Time-Varying Coherent Analysis of Medical Signals

机译：医学信号的时变相干分析

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摘要

The study of neuron-synchronization of EEG signals can help us to understand the underlying cognitive processes. The cognitive and information processing take place in different brain regions. In order to investigate how these distributed brain regions are linked together and the information is exchanged, the coherent analysis is frequently used as a tool for studying the relationship between two channel EEG. Traditional linear method for calculating the correlation between two time series in the frequency domain is referred as the coherence analysis. In many practice, EEG signals are often expressed as time-varying processes. For this purpose, this paper proposes a modern time-frequency method, which employs an alternative way for quantifying synchrony with both temporal and spectral resolution. This modem analysis method combines the wavelet transform, with the coherence. Wavelet coherent spectrum is defined.and computed from the EEG data set such that the cross wavelet magnitude spectra serves to indicate the degree of coherence and the cross wavelet phase can be used to provide the direction of information flow between channels on different cortical regions. Several real EEG data are collected based on a cognitive target. It is observed from the cross wavelet magnitude spectra and the phase that there are obviously differences during identifying both Chinese and English sentences. The researches are helpful for the study of English and Chinese to the Chinese students.
机译：脑电信号的神经元同步研究可以帮助我们理解潜在的认知过程。认知和信息处理发生在不同的大脑区域。为了研究这些分布的大脑区域如何链接在一起以及如何交换信息，相干分析经常用作研究两个通道脑电图之间关系的工具。在频域中计算两个时间序列之间的相关性的传统线性方法称为相干分析。在许多实践中，EEG信号通常表示为时变过程。为此，本文提出了一种现代的时频方法，该方法采用了另一种量化时间和频谱分辨率同步的方法。这种调制解调器分析方法结合了小波变换和相干性。定义小波相干谱，并从EEG数据集计算出小波相干谱，从而使交叉小波幅度谱用于指示相干程度，并且交叉小波相位可用于提供不同皮质区域上通道之间的信息流方向。基于认知目标收集了几个真实的EEG数据。从交叉小波幅度谱和相位可以看出，在识别汉英句子时存在明显差异。这些研究有助于中国学生学习英语和汉语。

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