Temporally resolved multi-way component analysis of dynamic sources in event-related EEG data using PARAFAC2

European Signal Processing Conference

Volumn , Issue , 2010, Pages 696-700

  Weis, Martin ^a   Jannek, Dunja ^a   Guenther, Thomas ^a   Husar, Peter ^a   Roemer, Florian ^a   Haardt, Martin ^a  

^a ILMENAU UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPONENT ANALYSIS; EEG RECORDING; MULTI-CHANNEL; MULTIDIMENSIONAL SIGNAL PROCESSING; PARAFAC; PARAFAC2; SIGNAL COMPONENTS; TEMPORALLY RESOLVED; TIME VARYING;

FACTOR ANALYSIS; SIGNAL PROCESSING;

DATA HANDLING;

EID: 84863805977     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. B. M. Abadi, D. Jarchi, and S. Sanei, "Simultaneous localization and separation of biomedical signals by tensor factorization", in Proc. IEEE/SP 15th Workshop on Statistical Signal Processing, pp. 61-78, 2009.
2. R. Bro, "PARAFAC. tutorial and applications", in Chemometrics and Intelligent Laboratory Systems, 38, pp. 149 - 171, 1997.
3. R. Bro, C.A. Andersson, and H. A. L. Kiers, "PARAFAC2- Part II. Modeling chromatographic data with retention time shifts", J. Chemometrics, vol. 11, pp. 295-309, 1997.
4. G. E. Chatrian, E. Lettich, and P. L. Nelson, "Ten percent electrode system for topographic studies of spontaneous and evoked EEG activities.", in American Journal of EEG Technology, vol. 25, pp. 83-92, 1985.
5. H. Choi and W.J. Williams, "Improved time-frequency representation of multicomponent signals using exponential kernels", in IEEE Trans. Acoust., Speech, Signal Process., vol. 37, no. 6, pp. 862-871, 1989.
6. L. Cohen, "Time-frequency analysis: Theory and applications", Prentice Hall, Upper Saddle River, NJ, 1995.
7. C. M. Guerrero, A. M. Triguerosand, and J. I. Franco, "Timefrequency EEG analysis in epilepsy: What is more suitable?", in Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, pp. 202 - 207, Athens, Greece, 2005.
8. R. A. Harshman, "Foundations of the PARAFAC procedure: Models and conditions for an "explanatory" multi-modal factor analysis", UCLAWorking Papers in Phonetics, vol. 16, pp. 30 pp., 1970.
9. R. A. Harshman, "PARAFAC2: Mathematical and technical notes", UCLA Working Papers in Phonetics, vol. 22, pp. 30- 44, 1972.
10. P. Husar, S. Berkes, and M. Drozd, "An approach to adaptive beamforming in measurement of EEG", in Proc. of the European Biomedical Engineering Congress (EMBEC), pp. 1438 - 1439, Vienna, Austria, 2002.
11. H. A. L. Kiers, J. M. F. Ten Berge, and R. Bro, "PARAFAC2 - Part I. A direct fitting algorithm for the PARAFAC2 model", J. Chemometrics, vol. 13, pp. 349-374, 1999.
12. L. De Lathauwer, B. de Moor, and J. Vandewalle, "A multilinear singular value decomposition", SIAM J. Matrix Anal. Appl., vol. 21, no. 4, 2000.
13. F. Miwakeichi, E. Martínez-Montes, P. A. Valdés-Sosa, N. Nishiyama, H. Mizuhara, and Y. Yamaguchi, "Decomposing EEG data into space-time-frequency components using parallel factor analysis", in Neuroimage 22(3), pp. 1035- 1045, 2004.
14. M. Mørup, L. K. Hansen, and C. S. Hermann, "Parallel factor analysis as an exploratory tool for wavelet transformed eventrelated EEG", in NeuroImage 29(3), pp. 938-947, 2006.
15. R. D. Pascual-Marqui, C. M. Michel, and D. Lehmann, "Low resolution electromagnetic tomography: A new method for localizing electrical activity in the brain", in Int. J. Psychophysiol. 18, pp. 49 - 65, 1994.
16. F. Roemer and M. Haardt, "A closed-form solution for parallel factor (PARAFAC) analysis", in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), pp. 2365- 2368, Las Vegas, NV, April 2008.
17. J. Ville, "Théorie et applications de la notion de signal analytique", in Câbles et transmissions, vol. 2A, pp. 66-74, 1948.
18. M. De Vos, L. De Lathauwer, B. Vanrumste, S. Van Huffel, and W. Van Paesschen, "Canonical decomposition of ictal scalp EEG and accurate source localisation: Principles and simulation study", in Comput. Intell. Neurosci., 2007.
19. M. Weis, F. Roemer, M. Haardt, D. Jannek, and P. Husar, "Multi-dimensional space-time-frequency component analysis of event-related EEG data using closed-form PARAFAC", in Proc. IEEE Int. Conference on Acoustics, Speech, and Signal Processing (ICASSP), Taipei, Taiwan, Apr. 2009.
20. E. P.Wigner, "On the quantum correction for thermodynamic equilibrium", in Phys. Rev., vol. 40, pp. 749-759, 1932.