Brain-computer interface analysis using continuous wavelet transform and adaptive neuro-fuzzy classifier

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2007, Pages 3220-3223

  Darvishi, Sam ^a   Al Ani, Ahmed ^a  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; HUMAN COMPUTER INTERACTION; SUPPORT VECTOR MACHINES; WAVELET TRANSFORMS;

ADAPTIVE NEURON-FUZZY INFERENCE SYSTEM (ANFIS); BRAIN-COMPUTER INTERFACE (BCI); CLASSIFICATION ALGORITHMS; LINGUISTIC RULES;

ELECTROENCEPHALOGRAPHY;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER INTERFACE; ELECTROENCEPHALOGRAPHY; EVOKED RESPONSE; FUZZY LOGIC; HUMAN; METHODOLOGY; PHYSIOLOGY; SIGNAL PROCESSING;

ALGORITHMS; BRAIN; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS; FUZZY LOGIC; HUMANS; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED; USER-COMPUTER INTERFACE;

EID: 57649202653     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4353015     Document Type: Conference Paper

References (13)

1. T. Ebrahimi, J.M. Vesin and G. Garcia. Brain-computer interface in multimedia communication. IEEE Signal Processing Magazine, vol. 20, pp 14-24, 2003.
2. G.S. Dharwarkar. "Using Temporal Evidence and Fusion of Time-Frequency Features for Brain-Computer Interfacing". Master Thesis, University of Waterloo, 2005.
3. nd ed. 2001.
4. L. Shoker, S. Sanei and A. Sumich. Distinguishing between left and right finger movement from EEG using SVM. IEEE Engineering in Medicine and Biology Society conference (EMBC 2005), 5420-5423, 2005.
5. S. Lemm, C. Schafer and G. Curio. BCI competition 2003-dataset III: probabilistic modeling of sensorimotor Mu rhythms for Classification of imaginary hand movements. IEEE Trans. on Biomedical Engineering, vol. 51, pp 1077-1080, 2004.
6. M. Kawada. Analysis on synchronous time frequency components of human movement related cortical potentials using wavelet transform. IEEE Engineering in Medicine and Biology Society conference (EMBC 2004), 333-336, 2004.
7. L.J. Trejo, R. Rosipal and B. Matthews. Brain-computer interface for 1-D and 2-D cursor control designs using volitional control of the EEG spectrum or steady-state visual evoked potentials. IEEE Trans. on Neural Systems and Rehabilitation Engineering. Vol. 14, pp. 225-229, 2006.
8. C. Vidaurre, A. Schlogl, R. Cabeza, R. Scherer, G. Pfurtscheller. A fully on-line adaptive BCI. IEEE Trans. on Biomedical Engineering, vol. 53, pp. 1214-1219, 2006.
9. V.J. Samar, A. Bopardikar, R. Rao and K. Swartz. Wavelet analysis of neuroelectric waveforms: a conceptual tutorial. Brain Language, vol. 66, pp. 7-60, 1999.
10. V. Bostanov. BCI competition 2003-data sets Ib and IIb: feature extraction from event-related brain potentials with the continuous wavelet transform and the t-value scalogram. IEEE Trans. on Biomedical Engineering, vol. 51, pp 1057-1061, 2004.
11. J-S. R. Jang, C-T. Sun and E. Mizutani. Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence. Prentice Hall, 1997.
12. C.W. Hsu, C-C. Chang and C-J. Lin. "A practical guide to Support vector classification". Technical report, National Taiwan University, 2003.
13. B. Blankertz, K.-R. Muller, G. Curio, T.M. Vaughan, G. Schalk, J.R. Wolpaw, A. Schlogl, C. Neuper, G. Pfurtscheller, T. Hinterberger, M. Schroder, and N. Birbaumer. "The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials". IEEE Transactions on Biomedical Engineering, vol. 51, pp: 1044-1051, 2004.