Reduced complexity space-time-frequency model for multi-channel EEG and its applications

Proceedings - IEEE International Symposium on Circuits and Systems

Volumn , Issue , 2007, Pages 1305-1308

  Wongsawat, Yodchanan ^a   Oraintara, Soontorn ^a   Rao, K R ^a  

^a The University of Texas at Arlington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; FEATURE EXTRACTION; SIGNAL ANALYSIS;

BRAIN COMPUTER INTERFACE (BCI); EYE BLINK; PARALLEL FACTOR ANALYSIS (PARAFAC); SPACE-TIME-FREQUENCY MODEL;

ELECTROENCEPHALOGRAPHY;

EID: 34548848870     PISSN: 02714310     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iscas.2007.378411     Document Type: Conference Paper

References (18)

1. L. D. Silva, "Analysis of EEG nonstationarities," Electroencephalogr. Clin. Neurophysiol. Suppl., vol.34, pp.163-179, 1978.
2. S. Makeig, "Auditory event-related dynamics of the EEG spectrum and effects of exposure to tones," Electroencephalogr. Clin. Neurophysiol Suppl., vol.86, pp.283-293, 1993.
3. O. Bertrand, J. Bohorquez and J. Pernier, "Time-frequency digital filtering based on an invertible wavelet transform: an application to evoked potential," IEEE Trans. Biomed. Eng., vol.41, pp.77-88, 1994.
4. L. Cohen, Time-frequency analysis, Upper Saddle River, Prentice Hall, 1995.
5. T. D. Lagerlund, F. w. Sharbrough and N. E. Busacker, "Spatial filtering of multichannel electroencephalographic recording through principal component analysis by singular value decomposition," J. Clin. Neurophysio., vol.14, pp.73-83, 1997.
6. A. C. Soong and P. Z. Koles, "Principal-component localization of sources of the background EEG," IEEE Trans. Biomed. Eng., vol.42, pp.59-67, 1995.
7. A. Cichocki and S. Amari, Adaptive blind signal and image processing, John Wiley and Sons, 2002.
8. A. Hyvarinen, J. Karhunen and E. Oja, Independent component analysis, John Wiley and Sons, 2001.
9. A. Gonzalez, R. G. Menendez, C. M. Lantz, O. Blank, C. M. Michel and T. Landis, "Non-stationary distributed source approximation: an alternative to improve localization, procedures," Hum. Brain Mapp., vol.14, pp.8.1-95, 2001.
10. T. Koenig, F. Marti-Lopez and P. A. Valdes-Sosa, "Topographic time-frequency decomposition of EEG," J. NeuroImage, vol.14, pp.383-390, 2001.
11. F. Miwakeichi, E. Martinez-Montes, P. A. Valdes-Sosa, N. Nishiyama, H. Mizuhara and Y. Yamaguchi, "Decomposing EEG data into space-timefrequency components using parallel factor analysis," J. NeuroImage, vol.22, pp.1035-1045, 2004.
12. R. Bro,"Multi-way analysis in the food industry: models, algorithms and applications," Ph.D. Thesis, University of Amsterdam and Royal Veterinary and Agricultural University, MATLAB toolbox available [online] at http://www.models.kvl.dk/users/rasmus/.
13. R. A. Harshman, "Foundations of the PARAFAC procedure: models and conditions for an explanatory multi-modal factor analysis,"UCLA Work. Pap. Phon, vol.16, pp.1-84, 1970.
14. Time-frequency toolbox available [online] at http://tftb.nongnu.org/.
15. M. Morup, L. K. Hansen, C. S. Herrmann, J. Pamas and S. M. Arnfred, "Parallel factor analysis as an exploratory tool for wavelet transformed event-related EEG," J. NeuroImage, vol.29, pp.938-947, 2006.
16. K. Nazarpour, S. Sanei, L. Shoker and J. Chambers, "Parallel Space-time-frequency decomposition of EEG signals for brain computer interfacing," EUSIPCO, Sep. 2006.
17. Y. Wongsawat, S Oraintara, T. Tanaka and K. R Rao, "Lossless Multichannel EEG Compression," IEEE ISCAS, pp.1611-1614, May 2006.
18. A. Osman and A. Robert, "Time-course of cortical activation during overt and imagined movements," Proc. Cognitive Neuroscience Annu. Meet., New York, 2001.