Characteristics of Question of Blind Source Separation Using Moore-Penrose Pseudoinversion for Reconstruction of EEG Signal

被引：22
|
作者：
Paszkiel, Szczepan [1 ]
机构：
[1] Opole Univ Technol, Inst Control & Comp Engn, Fac Elect Engn Automat Control & Informat, Prszkowska 76, PL-45271 Opole, Poland
来源：
AUTOMATION 2017: INNOVATIONS IN AUTOMATION, ROBOTICS AND MEASUREMENT TECHNIQUES | 2017年 / 550卷
关键词：
Moore-Penrose pseudoinversion; EEG signal; Blind signal separation; LOCALIZATION; ARTIFACTS; REMOVAL;
D O I：
10.1007/978-3-319-54042-9_36
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper presents question of blind source separation encountered by researchers aiming to determine location of generation electric activity in human brain as a source signal characteristic for given neuron fraction. To that end, Blind Signal Separation (BSS) technique with Moore-Penrose pseudoinversion was presented. The technique is useful for reconstruction of EEG signal. For the experimental purpose, sLORETA algorithm was also used to identify sources as a part of the inverse problem.
引用
收藏
页码：393 / 400
页数：8
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