Development of a steady state visual evoked potential (SSVEP)-based brain computer interface (BCI) system

Leow, R.S. and Ibrahim, F. and Moghavvemi, M. (2007) Development of a steady state visual evoked potential (SSVEP)-based brain computer interface (BCI) system. In: 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007, 2007, Kuala Lumpur.

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Abstract

This paper describes the development of a synchronous, online brain computer interface (BCI) system based on detecting the steady-state visual evoked potential (SSVEP). The system includes a programmable visual stimulator, EEG amplifier with filter system, data acquisition card, and signal processing and classification algorithms. Two types of experiments were carried out; training experiments were conducted to determine three optimal frequencies for each and every subject. For the testing experiments, three visual stimuli were presented simultaneously to the subject. Subject was required to focus his/her attention only on one of the target stimulus, and the system will detect the targeted stimulus the subject was focusing on. Five subjects have participated in the study with average detection accuracy of 83.10. ©2007 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Conference code: 74506 Cited By (since 1996):3 Export Date: 29 January 2014 Source: Scopus Art. No.: 4658399 doi: 10.1109/ICIAS.2007.4658399 Language of Original Document: English Correspondence Address: Leow, R. S.; Department of Biomedical Engineering, University of MalayaMalaysia References: J. R. Wolpaw et al., Brain-computer interface technology: a review of the first international meeting, IEEE Trans. Rehab. Eng. 8, pp. 164-173, June 2000Birbaumer, N., The thought translation device (TTD) for completely paralyzed patients (2000) IEEE Trans. Rehab. Eng, 8, pp. 190-193. , June; Pfurtscheller, G., Current trends in Graz brain-computer interface (BCI) research (2000) IEEE Trans. Rehab. Eng, 8, pp. 216-219. , June; E. Donchin, K.M. Spencer and R. Wijesinghe, The mental prosthesis: Assessing the speed of a P300-based brain-computer interface, IEEE Trans. Rehab. Eng. 8, pp.174-179, June 2000Sutter, E.E., The brain response interface: Communication through visually-induced electrical brain responses (1992) J. Microcomput. Appl, 15, pp. 31-45; Cheng, M., Gao, X., Gao, S., Xu, D., Design and implementation of a brain-computer interface with high transfer rates (2002) IEEE Trans. Biomed. Eng, 49, pp. 1181-1186. , Oct; Middendorf, M., McMillan, G., Calhoun, G., Jones, K.S., Brain-computer interfaces based on the steady-state visual-evoked response (2000) IEEE Trans. Neural Syst. Rehabil. Eng, 8, pp. 211-214. , June; E. Lalor, S. P. Kelly, C. Finucane, R. Burke, R. B. Reilly, and G. McDarby, Brain-Computer Interface based on the steady-state VEP for immersive gaming control, in Proc. of the 2nd Int. Brain- Computer Interface Workshop and Training Course 2004, 2004, 49 of Ergänzungsband Biomed Techn (Berl.), pp.63-64Muller-Putz, G.R., Pfurtscheller, G., Control of an electrical Prosthesis with an SSVEP-based BCI (2007) IEEE. Trans. Biomed Eng, , accepted for future publication; Kelly, S.P., Lalor, E.C., Reilly, R.B., Foxe, J.J., Visual Spatial Attention Tracking Using High-Density SSVEP Data for independent brain-computer communication (2005) IEEE Trans. Neural Syst. Rehabil. Eng, 13 (2), pp. 172-178. , June; Muller-Putz, G.R., Scherer, R., Brauneis, C., Pfurtscheller, G., SSVEP-based Communication: Impact of Harmonic Frequency Components (2005) Journal of Neural Engineering, Institute of Physics Publishing, 2, pp. 123-130; Morgan, S.T., Hansen, J.C., Hillyard, S.A., Selective attention to stimulus location modulates the steady state visual evoked potential (1996) Proc. Natl. Acad. Sci, 93, pp. 4770-4774. , May; Leow, R.S., Ibrahim, F., Moghavvemi, M., Assessment of Steady-State Visual Evoked Potential for Brain Computer Communication (2006) International Federal for Medical and Biological Engineering Proceedings, Springer, 15, pp. 352-354. , Dec; Amer. Electroencephalogr. Soc., Guidelines for standard electrode position nomenclature, Clin. Neurophysiol, 8, no. 2, pp.200-202, 1991Muller, K.R., Anderson, C.W., Birch, G.E., Linear and nonlinear methods for brain-computer interfaces (2003) IEEE Trans. Neural Syst. Rehabil. Eng, 11 (2), pp. 165-169. , June; Johnson, R.A., Wichern, D.W., (2002) Applied Multivariate Statistical Analysis, pp. 609-640. , 5th ed, Pearson Education International
Uncontrolled Keywords: Brain computer interface (BCI), Electroencephalography (EEG), Steady-state visual evoked potential (SSVEP), Electroencephalography, Electrophysiology, Experiments, Signal processing, Classification algorithms, Detection accuracies, Filter systems, Optimal frequencies, Steady states, Two types, Visual stimulus, Interfaces (computer)
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering
Depositing User: Mr Jenal S
Date Deposited: 17 Feb 2014 01:31
Last Modified: 23 Nov 2017 01:59
URI: http://eprints.um.edu.my/id/eprint/9277

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