脑电偶极子定位与跟踪的时序蒙特卡罗技术

2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop Pub Date : 2008-07-21 DOI:10.1109/SAM.2008.4606832

H. Mohseni, E. Wilding, S. Sanei

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引用次数: 19

摘要

本文提出了一种基于时序蒙特卡罗(SMC)技术的脑电偶极子源定位与跟踪方法，该方法考虑了真实头部模型。在状态空间中构造了局部化问题，并采用递归非高斯贝叶斯解的SMC方法。通过仿真和实际数据验证了该方法在偶极子源定位和跟踪中的应用潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Sequential monte carlo techniques for EEG dipole placing and tracking

In this summary a method based on sequential Monte Carlo (SMC) techniques for EEG dipole source localization and tracking, in which a real head model is taken into account, is presented. The localization problem is formulated in the state space and the SMC method, which is a recursive non-Gaussian Bayesian solution, is employed. The method was applied to simulated and real data to show its potential in dipole source placing and tracking.

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2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop

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