Blind estimation of channel parameters and source components for EEG signals: A sparse factorization approach

IEEE Transactions on Neural Networks

Volumn 17, Issue 2, 2006, Pages 419-431

  Li, Yuanqing ^a   Cichocki, Andrzej ^b   Amari, Shun Ichi ^b  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

Author keywords

Electroencephalogram (EEG); Linea programming; Linear mixture; Sparse factorization; Synchronization; Wavelet packets

Indexed keywords

ALGORITHMS; ELECTROENCEPHALOGRAPHY; ESTIMATION; FREQUENCY DOMAIN ANALYSIS; LINEAR PROGRAMMING; SIGNAL PROCESSING; SYNCHRONIZATION; WAVELET TRANSFORMS;

BLIND ESTIMATION; CHANNEL PARAMETERS; LINEAR MIXTURE; SPARSE FACTORIZATION; WAVELET PACKETS;

BLIND SOURCE SEPARATION;

ADULT; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; ELECTROENCEPHALOGRAPHY; EVALUATION; EVOKED RESPONSE; FACTORIAL ANALYSIS; HUMAN; MALE; MEMORY; METHODOLOGY; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS; FACTOR ANALYSIS, STATISTICAL; HUMANS; MALE; MEMORY; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33644977802     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2005.863424     Document Type: Article

References (37)

1. S. G. Mallat and Z. Zhang, "Matching pursuits with time-frequency dictionaries," IEEE Trans. Signal Process., vol. 41, no. 12, pp. 3397-3415, Dec. 1993.
2. I. F. Gorodnitsky and B. D. Rao, "Sparse signal reconstruction from limited data using FOCUSS: A re-weighted minimum norm algorithm," IEEE Trans. Signal Process., vol. 45, no. 3, pp. 600-616, Mar. 1997.
3. M. S. Lewicki and T. J. Sejnowski, "Learning overcomplete representations," Neural Comput., vol. 12, no. 2, pp. 337-365, 2000.
4. B. A. Olshausen, P. Sallee, and M. S. Lewicki, "Learning sparse image codes using a wavelet pyramid architecture," in Advances in Neural Information Processing Systems. Cambridge, MA: MIT Press, 2001, vol. 13, pp. 887-893.
5. 1 minimization," in Proc. Nat. Acad. Sci., vol. 100, 2003, pp. 2197-2202.
6. M. Zibulevsky and B. A. Pearlmutter, "Blind source separation by sparse decomposition," Neural Comput., vol. 13, no. 4, pp. 863-882, 2001.
7. S. A. Cruces-Alvarez, A. Cichocki, and S. Amari, "From blind signal extraction to blind instantaneous signal separation: Criteria, algorithms, and stability," IEEE Trans. Neural Netw., vol. 15, no. 4, pp. 859-873, Jul. 2004.
8. L. Zhang, A. Cichocki, and S. Amari, "Self-adaptive blind source separation based on activation functions adaptation," IEEE Trans. Neural Netw., vol. 15, no. 2, pp. 233-244, Mar. 2004.
9. W. Lu and J. C. Rajapakse, "Approach and applications of constrained ICA," IEEE Trans. Neural Netw., vol. 16, no. 1, pp. 203-212, Jan. 2005.
10. T. W. Lee, M. S. Lewicki, M. Girolami, and T. J. Sejnowski, "Blind source separation of more sources than mixtures using overcomplete representations," IEEE Signal Process. Lett., vol. 6, no. 4, pp. 87-90, Apr. 1999.
11. M. Girolami, "A variational method for learning sparse and overcomplete representations," Neural Comput., vol. 13, no. 11, pp. 2517-1532, 2001.
12. Y. Q. Li, A. Cichocki, and S. Amari, "Sparse representation and blind source separation," Neural Comput., vol. 16, no. 6, pp. 1193-1234, 2004.
13. Y. Q. Li, A. Cichocki, and S. Amari, "Sparse component analysis for blind source separation with less sensors than sources," in Proc 4th Int. Symp. Independent Component Analysis Blind Source Separation (ICA BSS), 2003, pp. 89-94.
14. S. Makeig, M. Westerfield, T. P. Jung, S. Enghoff, J. Townsend, E. Courchesne, and T. J. Sejnowski, "Dynamic brain sources of visual evoked responses," Science, vol. 295, pp. 690-694, 2002.
15. S. Makeig, T. P. Jung, A. J. Bell, D. Ghahremani, and T. J. Sejnowski, "Blind separation of auditory event-related brain responses into independent components," in Proc. Nat. Acad. Sci., vol. 94, 1997, pp. 10 979-10 984.
16. T. P. Jung, S. Makeig, M. Westerfield, J. Townsend, E. Courchesne, and T. J. Sejnowski, "Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects," Clinical Neurophysiol., vol. 111, pp. 1745-1758, 2000.
17. S. Tong, A. Bezerianos, J. Paul, Y. Zhu, and N. Thakor, "Removal of ECG interference from the EEG recordings in small animals using independent component analysis," J. Neurosci. Methods, vol. 108, pp. 11-17, 2001.
18. L. Parra, C. Alvino, A. Tang, B. Pearlmutter, N. Yeung, A. Osman, and P. Sajda, "Single-trial detection in EEG and MEG: Keeping it linear," Neurocomput., vol. 52-54, pp. 177-183, Jun. 2003.
19. L. Parra and P. Sajda, "Converging evidence of linear independent components in EEG," in Proc. 1st Int. IEEE EMBS Conf. Neural Eng., 2003, pp. 525-528.
20. E. Rodriguez, N. George, J. P. Lachaux, J. Martinerie, B. Renault, and F. J. Varela, "Perception's shadow: Long-distance synchronization of human brain activity," Nature, vol. 397, pp. 430-433, 1999.
21. F. Varela, J. P. Lachaux, E. Rodriguez, and J. Martinerie, "The brainweb: Phase synchronization and large-scale integration," Nature Rev., Neurosci., vol. 2, pp. 229-239, 2001.
22. W. Krause, H. Gibbons, and B. Schack, "Concept activation and coordination of activation procedure require two different networks," NeuroReport 9, pp. 1649-1653, 1998.
23. S. Weiss and P. Rappelsberger, "Long-range EEG synchronization during word encoding correlates with sucessful memory performance," Congn. Brain Res., vol. 9, pp. 299-312.
24. C. Allefeld and J. Kurths, "Multivariate phase synchronization analysis of EEG data," IEICE Trans. Fundam., vol. E86 A, no. 9, 2003.
25. W. Klimesch, "EEG alpha and theta oscillations reflect cognitive and memory performance: A review and analysis," Brain Res. Rev., vol. 29, pp. 169-195, 1999.
26. R. Q. Quiroga, A. Kraskov, T. Kreuz, and P. Grassberger, "Performance of different synchronization measures in real data: A case study on EEG signals," Phys. Rev. E, vol. 65, 2002.
27. S. R. Campbell, D. Wang, and C. Jayaprakash, "Synchronization rates in classes of relaxation oscillators Campbell," IEEE Trans. Neural Netw., vol. 15, no. 5, pp. 1027-1038, Sep. 2004.
28. J. P. Lachaux, E. Rodriguez, J. Martinerie, and F. J. Varela, "Measuring phase synchrony in brain signals," Hum. Brain Mapping, vol. 8, pp. 194-208, 1999.
29. M. Le Van Quyen, J. Foucher, J. P. Lachaux, E. Rodriguez, A. Lutz, J. Martinerie, and F. J. Varela, "Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony," J. Neurosci. Methods, vol. 111, pp. 83-98, 2001.
30. B. Schack, N. Vath, H. Petsche, H. G. Geissler, and E. Moller, "Phase-coupling of theta-gamma EEG rhythms during short-term memory processing," Int. J. Psychophysiol., vol. 44, pp. 143-163, 2002.
31. M. J. Hogan, G. R. J. Swanwick, J. Kaiser, M. Rowan, and B. Lawlor, "Memory-related EEG power and coherence reductions in mild Alzheimer's disease," Int. J. Psychophysiol., vol. 49, pp. 147-163, 2003.
32. P. M. Lahteenmaki, C. M. Krause, L. Sillanmaki, T. T. Salmi, and A. H. Lang, "Event-related alpha synchronization/desynchronization in a memory-search task in adolescent survivors of childhood cancer," Clinical Neurophysiol., vol. 110, pp. 2064-2073, 1999.
33. G. Pfurtscheller and W. klimesch, "Functional topography during a visuoverbal judgment task studied with event-related desynchronization mapping," J. Clinical Neurophysiol., vol. 9, pp. 120-131, 1992.
34. H. Supér, C. van der Togt, H. Spekreijse, and V. A. F. Lamme, "Internal state of minkey primary visual cortex (V1) predicts figure-ground perception," J. Neurosci., vol. 23, no. 8, pp. 3407-3414, 2003.
35. P. J. Durka, "Adaptive time-frequency parameterization of epileptic spikes," Phys. Rev. E, vol. 69, pp. 051 914-051 914, 2004.
36. P. J. Durka and K. J. Blinowska, "A unified time-frequency parametrization of EEG," IEEE Eng. Med. Biol. Mag., vol. 20, no. 5, pp. 47-53, Sep./Oct. 2001.
37. Y. Li, S. Amari, A. Cichocki, D. W. C. Ho, and S. Xie, "Underdetermined blind source separation based on sparse representation," IEEE Trans. Signal Process., vol. 54, no. 2, pp. 423-437, Feb. 2006.