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
相关论文
共 50 条
  • [31] APPLICATION OF ICA FOR SEPARATION OF ARTIFACTS IN MEG/EEG SIGNALS BY BLIND SOURCE SEPARATION USING IMPROVED PARTICLE SWARM OPTIMIZER
    Kumar, Naresh A.
    Jayakrishnan, G.
    INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY AND SYSTEM DESIGN 2011, 2012, 30 : 1020 - 1028
  • [32] Localization of abnormal EEG sources using blind source separation partially constrained by the locations of known sources
    Latif, MA
    Sanei, S
    Chambers, J
    Shoker, L
    IEEE SIGNAL PROCESSING LETTERS, 2006, 13 (03) : 117 - 120
  • [33] Time-domain blind audio source separation using advanced component clustering and reconstruction
    Koldovsky, Zbynek
    Tichavsky, Petr
    2008 HANDS-FREE SPEECH COMMUNICATION AND MICROPHONE ARRAYS, 2008, : 216 - +
  • [34] Under-Determined Reverberant Blind Source Separation using Excitation Sources Characteristics
    Bouafif, Mariem
    Lachiri, Zied
    2014 1ST INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR SIGNAL AND IMAGE PROCESSING (ATSIP 2014), 2014, : 472 - 475
  • [35] Blind source separation of multiple signal sources of fMRI data sets using independent component analysis
    Biswal, BB
    Ulmer, JL
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 1999, 23 (02) : 265 - 271
  • [36] SINGLE CHANNEL BLIND SOURCE SEPARATION FOR GAS REGULATORS' ACOUSTIC SIGNAL USING EEMD-FASTICA
    Li, Sheng-guo
    Li, Zi-hao
    Wang, Yu-ling
    Liu, Yao
    Chew, Tao-tao
    Tan, Song-ling
    Su, Zheng
    Gao, Min
    Jiang, Fei
    Li, Hong-lang
    PROCEEDINGS OF THE 2019 14TH SYMPOSIUM ON PIEZOELECTRCITY, ACOUSTIC WAVES AND DEVICE APPLICATIONS (SPAWDA19), 2019, : 422 - 425
  • [37] A new technique for blind source separation using subband subspace analysis in correlated multichannel signal environments
    Oweiss, KG
    Anderson, DJ
    2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING - VOL IV: SIGNAL PROCESSING FOR COMMUNICATIONS; VOL V: SIGNAL PROCESSING EDUCATION SENSOR ARRAY & MULTICHANNEL SIGNAL PROCESSING AUDIO & ELECTROACOUSTICS; VOL VI: SIGNAL PROCESSING THEORY & METHODS STUDENT FORUM, 2001, : 2813 - 2816
  • [38] A new technique for blind source separation using subband subspace analysis in correlated multichannel signal environments
    Oweiss, KG
    Anderson, DJ
    2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING - VOL IV: SIGNAL PROCESSING FOR COMMUNICATIONS; VOL V: SIGNAL PROCESSING EDUCATION SENSOR ARRAY & MULTICHANNEL SIGNAL PROCESSING AUDIO & ELECTROACOUSTICS; VOL VI: SIGNAL PROCESSING THEORY & METHODS STUDENT FORUM, 2001, : 4032 - 4032
  • [39] Blind source separation of multiple signal sources of fMRI data sets using independent component analysis
    Biswal, Bharat B.
    Ulmer, John L.
    Journal of Computer Assisted Tomography, 23 (02): : 265 - 271
  • [40] Blind reconstruction of a mechanical impacting source signal using higher order statistics part II, signal restoration using optimisation by differential evolution
    Seo, JS
    Hammond, JK
    STRUCTURAL DYNAMICS: RECENT ADVANCES, VOLS 1 & 2, PROCEEDINGS, 2000, : 215 - 224
12345