Analysis on subtracting projection of extracted independent components from EEG recordings

Biomedizinische Technik

Volumn 56, Issue 4, 2011, Pages 223-234

  Cong, Fengyu ^a   Kalyakin, Igor ^a   Chang, Zheng ^a   Ristaniemi, Tapani ^a  

^a UNIVERSITY OF JYVÄSKYLÄ   (Finland)

Author keywords

artifact; ERP; ICA; polarity; projection; rejection; subtraction

Indexed keywords

ARTIFACT; POLARITY; PROJECTION; REJECTION; SUBTRACTION;

BRAIN; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; MIXTURES; MULTIVARIANT ANALYSIS;

INDEPENDENT COMPONENT ANALYSIS;

ALGORITHM; ARTICLE; ARTIFACT; BRAIN; COMPUTER SIMULATION; ELECTRODE; ELECTROENCEPHALOGRAPHY; EVOKED RESPONSE; HUMAN; METHODOLOGY; PHYSIOLOGY; PRINCIPAL COMPONENT ANALYSIS; REFERENCE VALUE; SIGNAL PROCESSING; THEORETICAL MODEL;

ALGORITHMS; ARTIFACTS; BRAIN; COMPUTER SIMULATION; ELECTRODES; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS; HUMANS; MODELS, THEORETICAL; PRINCIPAL COMPONENT ANALYSIS; REFERENCE VALUES; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 80052625163     PISSN: 00135585     EISSN: None     Source Type: Journal    
DOI: 10.1515/BMT.2011.102     Document Type: Article

References (29)

1. Adeli H, Zhou Z, Dadmehr N. Analysis of EEG records in an epileptic patient using wavelet transform. J Neurosci Methods 2003; 123: 69-87. (Pubitemid 36173654)
2. Blankertz B, Lemm S, Treder M, Haufe S, Muller KR. Singletrial analysis and classification of ERP components-a tutorial. NeuroImage. DOI: 10.1016/j.neuroimage.2010.06.048.
3. Burger M, Hoppe U, Kummer P, Lohscheller J, Eysholdt U, Dollinger M. Wavelet-based analysis of MMN responses in children. Biomed Tech (Berl) 2007; 52: 111-116. (Pubitemid 46625764)
4. Chang KM. Ensemble empirical mode decomposition for high frequency ECG noise reduction. Biomed Tech (Berl) 2010; 55: 193-201.
5. Cichocki A, Amari S. Adaptive blind signal and image processing: learning algorithms and applications. Revised ed. Chichester: John Wiley and Sons Inc. 2003.
6. Cong F, Kalyakin I, Ristaniemi T, Lyytinen H. In: Katashev A, Dekhtyar Y, Spigulis J, editors. Drawback of ICA procedure on EEG: polarity indeterminacy at local optimization. NBC Springer, Riga, Latvia 2008: 202-205.
7. Daubechies I, Roussos E, Takerkart S, et al. Independent component analysis for brain FMRI does not select for independence. PNAS 2009; 106: 10415-10422.
8. Delorme A, Makeig S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods 2004; 134: 9-21. (Pubitemid 38224183)
9. Duncan CC, Barry RJ, Connolly JF, et al. Event-related potentials in clinical research: guidelines for eliciting, recording and quantifying mismatch negativity P300, and N400. Clin Neurophysiol 2009; 120: 1883-1908.
10. Guger C, Schlogl A, Walterspacher D, Pfurtscheller G. Design of an EEG-based brain-computer interface (BCI) from standard components running in real-time under Windows. Biomed Tech (Berl) 1999; 44: 12-16. (Pubitemid 29106752)
11. Hämäläinen M, Hari R, Ilmoniemi R, Knuutila J, Lounasmaa, O. Magnetoencephalography-theory, instrumentation and applications to noninvasive studies of the working human brain. Rev Mod Phys 1993; 65: 413-497.
12. Hao J, Lee I, Lee TW, Sejnowski TJ. Independent vector analysis for source separation using a mixture of Gaussians prior. Neural Comput 2010; 22: 1646-1673.
13. Huttunen-Scott T, Kaartinen J, Tolvanen A, Lyytinen H. Mismatch negativity (MMN) elicited by duration deviations in children with reading disorder, attention deficit or both. Int J Psychophysiol 2008; 69: 69-77.
14. Hyvarinen A, Karhunen J, Oja E. Independent component analysis. New York: John Wiley and Sons Inc. 2001.
15. Jeleazcov C, Egner S, Bremer F, Schwilden H. Automated EEG preprocessing during anaesthesia: new aspects using artificial neural networks. Biomed Tech (Berl) 2004; 49: 125-131. (Pubitemid 38745724)
16. Kalyakin I, Gonzalez N, Joutsensalo J, Huttunen T, Kaartinen J, Lyytinen H. Optimal digital filtering versus difference waves on the mismatch negativity in an uninterrupted sound paradigm. Dev Neuropsychol 2007; 31: 429-452. (Pubitemid 47012763)
17. Kalyakin I, Gonzalez N, Karkkainen T, Lyytinen H. Independent component analysis on the mismatch negativity in an uninterrupted sound paradigm. J Neurosci Methods 2008; 174: 301-312.
18. Kalyakin I, Gonzalez M, Ivannikov I, Lyytinen H. Extraction of the mismatch negativity elicited by sound duration decrements: a comparison of three procedures. Data Knowl Eng 2009; 68: 1411-1426.
19. Kovacevic N, McIntosh AR. Groupwise independent component decomposition of EEG data and partial least square analysis. NeuroImage 2007; 35: 1103-1112. (Pubitemid 46507824)
20. Luck SJ. An introduction to the event-related potential technique. Cambridge, MA: The MIT Press 2005.
21. Makeig S. Frequently Asked Questions about ICA applied to EEG and MEG data. www. sccn. ucsd. edu/;scott/icafaq. html. Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego 2002.
22. Makeig S, Westerfield M, Jung TP, et al. Functionally independent components of the late positive event-related potential during visual spatial attention. J Neurosci 1999; 19: 2665-2680. (Pubitemid 29162415)
23. Mennes M, Wouters H, Vanrumste B, Lagae L, Stiers P. Validation of ICA as a tool to remove eye movement artifacts from EEG/ERP. Psychophysiology 2010; 47: 1142-1150.
24. Nunez P, Srinivasan R. Electric fields of the brain: the neurophysics of EEG. 2nd ed. New York: Oxford University Press 2005.
25. Scherg M, Von Cramon D. Two bilateral sources of the late AEP as identified by a spatio-temporal dipole model. Electroencephalogr Clin Neurophysiol 1985; 62: 32-44. (Pubitemid 15160074)
26. Vakorin VA, Kovacevic N, McIntosh AR. Exploring transient transfer entropy based on a group-wise ICA decomposition of EEG data. NeuroImage 2010; 49: 1593-1600.
27. Vidaurre C, Schlogl A, Cabeza R, Scherer R, Pfurtscheller G. Adaptive on-line classification for EEG-based brain computer interfaces with AAR parameters and band power estimates. Biomed Tech (Berl) 2005; 50: 350-354.
28. Vigario R, Oja E. BSS and ICA in neuroinformatics: from current practices to open challenges. IEEE Reviews in Biomedical Engineering 2008; 1: 50-61.
29. Yeh CL, Chang HC, Wu CH, Lee PL. Extraction of singletrial cortical beta oscillatory activities in EEG signals using empirical mode decomposition. Biomed Eng Online 2010; 9: 25.