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| 基于独立分量分析的拟牛顿方法在脑电多源定位问题中的应用 | |
| 引用本文： | 邹凌,朱善安,He Bin.基于独立分量分析的拟牛顿方法在脑电多源定位问题中的应用[J].生物医学工程学杂志,2006,23(6):1206-1212. |
| 作者姓名： | 邹凌 朱善安 He Bin |
| 作者单位： | 1. 江苏工业学院,计算机科学与工程系,常州,213016 2. 浙江大学,电气工程学院,杭州,310027 3. Department of Biomedical Engineering,University of Minnesota,Minneapolis, MN 55455, USA |
| 摘 要： | 在时空源模型的基础上，应用基于独立分量分析的拟牛顿方法进行多源的分离及定位，源分离的过程使得多偶极子的定位问题转化成几个单偶极子的定位，此方法的另一个优点是可以获得独立源的数目。计算机仿真表明：基于独立分量分析的拟牛顿方法在定位精度、计算时间及抗噪性能等方面都要优于传统的非线性优化方法。 |
| 关 键 词： | 脑电源定位问题 时空模型 独立分量分析 基于独立分量分析的拟牛顿方法 |
| 收稿时间： | 2004-08-31 |
| 修稿时间： | 2004-08-312004-11-09 |
Multiple Dipole Source Localization from Spatio-temporal EEG Data by Quasi-Newton-ICA Method |
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| Zou Ling,Zhu Shan'an,He Bin.Multiple Dipole Source Localization from Spatio-temporal EEG Data by Quasi-Newton-ICA Method[J].Journal of Biomedical Engineering,2006,23(6):1206-1212. | |
| Authors: | Zou Ling Zhu Shan'an He Bin |
| Institution: | 1,Departrnent of Computer Science and Technology, Jiangsu Polytechnic University, Changzhou 213016,China;2,College of Electrical Engineering. Zhejiang University, Hangzhou, 310027, China;3,Department of Biomedical Engineering.University of Minnesota ,Minneapolis, MN 55455, USA |
| Abstract: | We have investigated spatio-temporal source modeling (STSM) of the electroencephalogram (EEG) by using a Quasi-Newton method based on Independent Component Analysis (ICA) for localization of multiple dipole sources from the scalp EEG. The problem of multiple dipole localization was transformed into several single dipole localization problems. Another benefit of the present method is that the number of independent sources can be estimated. Computer simulation studies were conducted to evaluate the performance of this approach. The present simulation results indicate that the ICA-based method is superior to the conventional nonlinear methods in localization accuracy, computation time and anti-noise performance, for multiple dipole localization when the sources are stationary over the period of interest. |
| Keywords: | EEG source localization Spatio-temporal source model(STSM) Indendent Component Analysis(ICA) Quasi-Newton-ICA method |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |