基于盲源分离的脑电图脑图重建

信号处理 Pub Date : 2001-08-06 DOI:10.1109/SSP.2001.955265

S. Sanei, A. R. Leyman

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引用次数: 4

摘要

基于脑电图的脑图在解剖、功能和病理诊断方面非常有用。这些图像是信号能量在四个不同频段的投影。特征矩阵联合近似对角化(JADE)作为一种有效的工具，在频谱估计之前对脑电信号进行反卷积。该算法还可以通过高阶统计量(HOS)估计从信号中恢复噪声。使用自回归(AR)模型估计光谱，并使用伪热色来表示大脑活动。结果显示重建图像的诊断特征有很大的增强。整个系统还可以实时重建图像，用于患者监测。

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EEG brain map reconstruction using blind source separation

EEG-based brain maps are very useful in anatomical, functional and pathological diagnosis. These images are projections of the energy of the signals in four different frequency bands. Joint approximate diagonalization of eigenmatrices (JADE) is used as an effective tool in the deconvolution of EEG signals prior to spectrum estimation. The algorithm also, restores the noise from the signal as a result of higher order statistics (HOS) estimation. The spectrum is estimated using autoregressive (AR) modelling and pseudo-hot colours are used to represent brain activities. The results show a great enhancement in diagnostic features in the reconstructed images. The overall system also enables real-time reconstruction of the images for patient monitoring purposes.

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来源期刊

信号处理

自引率

0.00%

发文量

5812

期刊介绍： Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.