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A new algorithm for EEG source reconstruction based on LORETA by contracting the source region
引用本文:GUAN Xin,MA Xinshan,XIE Yaoqin. A new algorithm for EEG source reconstruction based on LORETA by contracting the source region[J]. 自然科学进展(英文版), 2002, 12(11): 859-862
作者姓名:GUAN Xin  MA Xinshan  XIE Yaoqin
作者单位:Department of Electrical Engineering, Tsinghua University, Beijing 100084, China,Department of Electrical Engineering, Tsinghua University, Beijing 100084, China,Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
基金项目:Supported by the National Natural Science Foundation of China (Grant Nos. 59877009 and 59937160)
摘    要:A new method is presented for EEG source reconstruction based on multichannel surface EEG recordings. From the low-resolution tomography obtained by the low resolution electromagnetic tomography algorithm (LORETA), this method acquires the source tomography, which has high-resolution by contracting the source region. In contrast to focal underdetermined system solver (FOCUSS), this method can gain more accurate result under certain circumstances.

关 键 词:electroencephalogram (EEG)   inverse problem   low resolution electromagnetic tomography algorithm (LO

A new algorithm for EEG source reconstruction based on LORETA by contracting the source region
GUAN Xin,MA Xinshan,XIE Yaoqin. A new algorithm for EEG source reconstruction based on LORETA by contracting the source region[J]. Progress in Natural Science, 2002, 12(11): 859-862
Authors:GUAN Xin  MA Xinshan  XIE Yaoqin
Affiliation:Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Abstract:A new method is presented for EEG source reconstruction based on multichannel surface EEG recordings. From the low-resolution tomography obtained by the low resolution electromagnetic tomography algorithm (LORETA), this method acquires the source tomography, which has high-resolution by contracting the source region. In contrast to focal underdetermined system solver (FOCUSS), this method can gain more accurate result under certain circumstances.
Keywords:electroencephalogram (EEG)   inverse problem   low resolution electromagnetic tomography algorithm (LO
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