We consider detection of a current dipole source in the head by magnetoencephalography (MEG) and electroencephalography (EEG) using the fundamental statistical techniques of generalized likelihood ratio (GLR) tests. The distributions of the GLR, under the null hypothesis H/sub 0/ and the alternative H/sub 1/, are estimated in order to find the probabilities of false alarm P/sub fa/ and detection P/sub d/ under a variety of conditions. We also derive a modified version of the GLR test that enables analytical computation of P/sub fa/ and P/sub d/ when the dipole's position is unknown. The results may be applied to compare the detection performance of different MEG/EEG systems and to optimize array design.
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机译：我们考虑使用广义似然比（GLR）测试的基本统计技术，通过磁脑电图（MEG）和脑电图（EEG）对头部中当前的偶极子源进行检测。估计在零假设H / sub 0 /和替代H / sub 1 /下的GLR分布，以便找到在各种情况下错误警报P / sub fa /和检测P / sub d /的概率条件。我们还导出了GLR测试的修改版本，该测试版本可以在偶极子的位置未知时对P / sub fa /和P / sub d /进行解析计算。结果可用于比较不同MEG / EEG系统的检测性能，并优化阵列设计。
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