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神经病学中的脑电图频谱地形图:I. 技术综述

EEG spectral topography in neurology: I. A review of techniques.

作者信息

Satherley B L, Jones R D, Bones P J

机构信息

Department of Electrical and Electronic Engineering, University of Canterbury, Christchurch, New Zealand.

出版信息

Australas Phys Eng Sci Med. 1996 Sep;19(3):172-82.

PMID:8936727
Abstract

As researchers investigate methods of automated interpretation of the electroencephalogram (EEG), spectral topography is emerging as an important and popular technique in applied clinical neurophysiology. Several computer-based EEG topography systems have been developed to produce topographic maps showing the spatial distributions of pre-defined frequency bands in the EEG. However, there is ongoing debate as to which technical approaches to EEG topography generate maps that can be most accurately interpreted by clinicians. This paper reviews existing topographic techniques, particularly as they apply to diagnostic neurology, and discusses some of the technical choices that must be addressed by topography users. These choices include the selection of montage, epoch length, interpolation scheme, graphical display method, and artifact removal technique. The points summarised here highlight the general opinion that although EEG topography has many benefits, it should be invoked with care and the user should possess an indepth understanding of the procedures used to produce the topographic maps.

摘要

随着研究人员对脑电图(EEG)自动解读方法的深入探究,频谱地形图正成为应用临床神经生理学中一项重要且广受欢迎的技术。已开发出多种基于计算机的脑电图地形图系统,用于生成展示脑电图中预定义频段空间分布的地形图。然而,关于脑电图地形图的哪种技术方法能生成临床医生最易准确解读的图谱,目前仍存在争议。本文回顾了现有的地形图技术,尤其是其在诊断神经病学中的应用,并讨论了地形图使用者必须面对的一些技术选择。这些选择包括导联组合的选择、时段长度、插值方案、图形显示方法以及伪迹去除技术。此处总结的要点凸显了这样一种普遍观点:尽管脑电图地形图有诸多益处,但使用时应谨慎,使用者应对生成地形图的程序有深入理解。

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