A real-time fractal-based brain state recognition from EEG and its applications

BIOSIGNALS 2011 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing

Volumn , Issue , 2011, Pages 82-90

  Sourina, Olga ^a   Wang, Qiang ^a   Liu, Yisi ^a   Nguyen, Minh Khoa ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

BCI; EEG; Emotion recognition; Fractal dimension; Neurofeedback; Real time applications

Indexed keywords

BCI; BRAIN STATE; CONCENTRATION LEVELS; EEG SIGNALS; EMOTION RECOGNITION; HUMAN COMPUTER INTERFACES; MUSIC THERAPY; NEUROFEEDBACK; NEW DIRECTIONS; REAL TIME ALGORITHMS; REAL-TIME APPLICATION; RESEARCH AND DEVELOPMENT; RESEARCH COMMUNITIES; SERIOUS GAMES; SPATIO-TEMPORAL;

ANESTHESIOLOGY; BRAIN COMPUTER INTERFACE; FRACTAL DIMENSION; HUMAN COMPUTER INTERACTION; SIGNAL PROCESSING; USER INTERFACES;

REAL TIME SYSTEMS;

EID: 79960240867     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (37)

1. 1991. American electroencephalographic society guidelines for standard electrode position nomenclature. Journal of Clinical Neurophysiology, 8, 200-202.
2. Blinn, J. F. 1982. Generalization Of Algebraic Surface Drawing. Computer Graphics (ACM), 16, 273.
3. Block, A., Von Bloh, W. & Schellnhuber, H. J. 1990. Efficient box-counting determination of generalized fractal dimensions. Physical Review A, 42, 1869-1874.
4. Chanel, G., Kierkels, J. J. M., Soleymani, M. & Pun, T. 2009. Short-term emotion assessment in a recall paradigm. International Journal of Human Computer Studies, 67, 607-627.
5. Chanel, G., Kronegg, J., Grandjean, D. & Pun, T. 2006. Emotion assessment: Arousal evaluation using EEG's and peripheral physiological signals
6. Coben, r., Linden, M. & Myers, T. E. 2010. Neurofeedback for autistic spectrum disorder: A review of the literature. Applied Psychophysiology Biofeedback, 35, 83-105.
7. Demos, J. N. 2005. Getting Started with Neurofeedback, New York, WW Norton & Company.
8. Fuchs, T., Birbaumer, N., Lutzenberger, W., Gruzelier, J. H. & Kaiser, J. 2003. Neurofeedback treatment for attention-deficit/hyperactivity disorder in children: A comparison with methylphenidate. Applied Psychophysiology Biofeedback, 28, 1-12. (Pubitemid 36397232)
9. Gevensleben, H., Holl, B., Albrecht, B., Schlamp, D., Kratz, O., Studer, P., Wangler, S., Rothenberger, A., Moll, G. H. & Heinrich, H. 2009. Distinct EEG effects related to neurofeedback training in children with ADHD: A randomized controlled trial. International Journal of Psychophysiology, 74, 149-157.
10. HAPTEK. Available: http://www.haptek.com [Accessed].
11. hentschel, H. G. E. & Procaccia, I. 1983. The infinite number of generalized dimensions of fractals and strange attractors. Physica D: Nonlinear Phenomena, 8, 435-444.
12. Higuchi, T. 1988. Approach to an irregular time series on the basis of the fractal theory. Physica D: Nonlinear Phenomena, 31, 277-283.
13. IDM-PROJECT. 2008. Emotion-based personalized digital media experience in Co-Spaces [Online]. Available: http://www3.ntu.edu.sg/home/eosourina/CHCILab/ projects.html [Accessed].
14. Ishino, K. & Hagiwara, M. Year. A feeling estimation system using a simple electroencephalograph. In, 2003. 4204-4209.
15. Khalili, Z. & Moradi, M. H. Year. Emotion recognition system using brain and peripheral signals: Using correlation dimension to improve the results of EEG. In: Proceedings of the International Joint Conference on Neural Networks, 2009. 1571-1575.
16. Kouijzer, M. E. J., Van Schie, H. T., De Moor, J. M. H., Gerrits, B. J. L. & Buitelaar, J. K. 2010. Neurofeedback treatment in autism. Preliminary findings in behavioral, cognitive, and neurophysiological functioning. Research in Autism Spectrum Disorders, 4, 386-399.
17. Kulish, V., Sourin, A. & Sourina, O. 2006a. Analysis and visualization of human electroencephalograms seen as fractal time series. Journal of Mechanics in Medicine and Biology, World Scientific, 26(2), 175-188.
18. Kulish, V., Sourin, A. & Sourina, O. 2006b. Human electroencephalograms seen as fractal time series: Mathematical analysis and visualization. Computers in Biology and Medicine, 36, 291-302. (Pubitemid 43156392)
19. Lin, Y. P., Wang, C. H., Wu, T. L., Jeng, S. K. & Chen, J. H. Year. EEG-based emotion recognition in music listening: A comparison of schemes for multiclass support vector machine. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2009 Taipei. 489-492.
20. Liu, Y., Sourina, O. & Nguyen, M. K. Year. Real-time EEG-based Human Emotion Recognition and Visualization In: Proc. 2010 Int. Conf. on Cyberworlds, 20-22 Oct, 2010 2010 Singapore. 262-269.
21. Lubar, J. F., Swartwood, M. O., Swartwood, J. N. & O' Donnell, P. H. 1995. Evaluation of the effectiveness of EEG neurofeedback training for ADHD in a clinical setting as measured by changes in T.O.V.A. scores, behavioral ratings, and WISC-R performance. Biofeedback and Self-Regulation, 20, 83-99.
22. Nunez, P. L. & Srinivasan, R. 2006. Electric Fields of the Brain, Oxford University Press.
23. Pasko, A., Adzhiev, V., Sourin, A. & Savchenko, V. 1995. Function representation in geometric modeling: concepts, implementation and applications. The Visual Computer, 11, 429-446.
24. Petrantonakis, P. C. & Hadjileontiadis, L. J. 2010. Emotion recognition from EEG using higher order crossings. IEEE Transactions on Information Technology in Biomedicine, 14, 186-197.
25. Phothisonothai, M. & Nakagawa, M. 2007. Fractal-based EEG data analysis of body parts movement imagery tasks. Journal of Physiological Sciences, 57, 217-226. (Pubitemid 350133537)
26. Renyi, A. 1955. On a new axiomatic theory of probability. Acta Mathematica Academiae Scientiarum Hungaricae, 6, 285-335.
27. Sanei, S. & Chambers, J. 2007. EEG signal processing, Chichester, England ; Hoboken, NJ, John Wiley & Sons.
28. Saxby, E. & Peniston, E. G. 1995. Alpha-theta brainwave neurofeedback training: An effective treatment for male and female alcoholics with depressive symptoms. Journal of Clinical Psychology, 51, 685-693.
29. Shannon, C. E. 1998. The mathematical theory of communication University of Illinois Press.
30. Sokhadze, T. M., Cannon, R. L. & Trudeau, D. L. 2008. EEG biofeedback as a treatment for substance use disorders: Review, rating of efficacy, and recommendations for further research. Applied Psychophysiology Biofeedback, 33, 1-28.
31. Sourina, O., Kulish, V. V. & Sourin, A. Year. Novel Tools for Quantification of Brain Responses to Music Stimuli. In: Proc of 13th International Conference on Biomedical Engineering ICBME 2008, 3-6 December 2008. 411-414.
32. Sourina, O., Sourin, A. & Kulish, V. Year. EEG data driven animation and its application. In: Proc of International Conference Mirage 2009, 4-6 May 2009 Rocquencourt. 380-388.
33. Takahashi, K. Year. Remarks on emotion recognition from multi-modal bio-potential signals. In, 2004. 1138-1143.
34. Wang, Q., Sourina, O. & Nguyen, M. K. Year. EEG-based "Serious" Games Design for Medical Applications. In: In Proc. 2010 Int. Conf. on Cyberworlds, 2010a Singapore. 270-276.
35. Wang, Q., Sourina, O. & Nguyen, M. K. Year. Fractal Dimension Based Algorithm for Neurofeedback Games. In: Proc. CGI 2010. SP25, 2010b Singapore.
36. Wyvill, G., Mcpheeters, C. & Wyvill, B. 1986. Data structure for soft objects. The Visual Computer, 2, 227-234.
37. Zhang, Q. & Lee, M. 2009. Analysis of positive and negative emotions in natural scene using brain activity and GIST. Neurocomputing, 72, 1302-1306.