脑电图电极配置的采样定理。

A sampling theorem for EEG electrode configuration.

作者信息

Vaidyanathan C, Buckley K M

机构信息

Department of Electrical Engineering, University of Minnesota, Minneapolis 55455, USA.

出版信息

IEEE Trans Biomed Eng. 1997 Jan;44(1):94-7. doi: 10.1109/10.553717.

DOI:10.1109/10.553717

PMID:9214788

Abstract

An analytical tool to help in selecting the number of electrodes required for recording electroencephalogram (EEG) signals is presented. The main assumption made is that the scalp can be modeled as a hemispherical surface. The number of sensors required to sample a surface is derived by using a mean square error (MSE) measure to approximate the continuous potential functions on the hemispherical surface. An algorithm for selecting the number of electrodes for arbitrary head geometries is also proposed. A sampling theorem is then derived with conditions on the sampling points for electrode placement.

摘要

本文提出了一种有助于选择记录脑电图（EEG）信号所需电极数量的分析工具。主要假设是头皮可建模为半球形表面。通过使用均方误差（MSE）度量来近似半球形表面上的连续电位函数，得出对表面进行采样所需的传感器数量。还提出了一种针对任意头部几何形状选择电极数量的算法。然后推导了一个关于电极放置采样点条件的采样定理。