Magnetoencephalography Performance Measures and Optimizations

脑磁图（MEG）是通过测量诱发的外部磁场来绘制脑电活动的方法。这种映射应用于癫痫等疾病的诊断。近年来，由于弱磁场测量的稳步改进以及脑磁图对颅骨内电导率不均匀性的相对稳健性，脑磁图一直是一个非常活跃的领域。从信号处理的角度来看，本研究正在为脑磁图（MEG）和脑电图（EEG）系统开发几种性能测量和优化方案。这些措施包括：(1)源参数估计的准确性；(2)基于检测概率的源的可检测性；(3)源的分辨率，或检测到多个源的概率。这些措施正在应用于开发MEG/EEG系统参数的优化设计技术，包括传感器的放置、类型和方向。

MagnetoEncephaloGraphy (MEG) is concerned with mapping electrical activity in the brain by measuring the induced external magnetic field. This mapping is applied for diagnosis of diseases such as epilepsy. MEG has been a very active area lately due to the steady improvement of weak magnetic field measurements and its relative robustness to inhomogeneities in electrical conductivity within the skull. This research is developing several performance measures and optimization schemes for magnetoencephalography (MEG) and electroencephalography (EEG) systems, from a signal processing point of view. The measures include: (1) accuracy of source parameter estimates, (2) detectability of a source, based on the probability of detection, and (3) resolution of sources, or the probability of detecting more than one source. These measures are being applied to develop techniques for the optimum design of MEG/EEG system parameters, including sensor placement, type and orientation.