Vaidyanathan C, Buckley K M
Department of Electrical Engineering, University of Minnesota, Minneapolis 55455, USA.
IEEE Trans Biomed Eng. 1997 Jan;44(1):94-7. doi: 10.1109/10.553717.
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.
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。
