Measuring Steady-State Visual Evoked Potentials from non-hair-bearing areas

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 1806-1809

  Wang, Yu Te ^a   Wang, Yijun ^b   Cheng, Chung Kuan ^a   Jung, Tzyy Ping ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALTERNATIVE APPROACH; BRAIN-COMPUTER INTERFACES (BCI); EEG SIGNALS; HIGH QUALITY; REAL-LIFE APPLICATIONS; SIGNAL QUALITY; STEADY-STATE VISUAL EVOKED POTENTIALS;

SENSORS;

BRAIN COMPUTER INTERFACE;

ARTICLE; ELECTRODE; EVOKED VISUAL RESPONSE; HAIR; HISTOLOGY; HUMAN; MALE; PHYSIOLOGY; SCALP; SIGNAL NOISE RATIO;

ELECTRODES; EVOKED POTENTIALS, VISUAL; HAIR; HUMANS; MALE; SCALP; SIGNAL-TO-NOISE RATIO;

MLCS; MLOWN;

EID: 84880810546     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6346301     Document Type: Conference Paper

References (14)

1. J. R. Wolpaw, N. Birbaumer, D. J. McFarland, G. Pfurtscheller, and T. M. Vaughan, "Brain-computer interfaces for communication and control," Clinical Neurophysiology, vol. 113, no. 6, pp. 767 - 791, 2002.
2. G. Bin, X. Gao, Z. Yan, B. Hong, and S. Gao, "An online multichannel SSVEP-based brain-computer interface using a canonical correlation analysis method," Journal of Neural Engineering, vol. 6, no. 4, 2009.
3. Y.-T. Wang, Y. Wang, and T. -P. Jung, "A Cell-phone based Brain Computer Interface for Communication in Daily Life", Journal of Neural Engineering, vol.8, no.2, pp. 1-5, 2011.
4. M. Cheng and S. Gao, "An EEG-based Cursor Control System." IEEE BMES/EMBS conference, vol.1, 1999.
5. M. Cheng, X. Gao, S. Gao, and D. Xu, "Design and implementation of a brain-computer interface with high transfer rates," IEEE Trans. on Biomed. Eng. vol.10, pp. 1181-1186, October 2002.
6. Y. Wang, R. Wang, X. Gao, and S. Gao, "Brain-computer interface based on the high-frequency steady-state visual evoked potential.", Proceeding of IEEE Neural Interface and Control, pp. 37-39, 2005.
7. S.P. Kelly, E.C. Lalor, R.B. Reilly, J.J. Foxe, "Visual spatial attention tracking using high-density ssvep data for independent brain- computer communication," IEEE Trans. on Neural Systems and Rehab. Eng., vol.13, pp. 172-178, 2005.
8. X. Gao, D. Xu, M. Cheng, and S. Gao, "A BCI-based environmental controller for the motion-disabled," IEEE Trans. on Neural Systems and Rehab. Eng., vol. 11, no. 2, pp. 137-140, 2003.
9. K.-K. Shyu, P.-L. Lee, M.-H. Lee, M.-H. Lin, R.-J. Lai, and Y.-J. Chiu, "Development of a Low-Cost FPGA-Based SSVEP BCI Multimedia Control System," IEEE Trans. on Biomed. Circuits Syst. vol.4, pp. 125-132, April 2010.
10. C. Grozea, C. D Voinescu, and S. Fazli, "Bristle-sensors Low-cost Flexible Passive Dry EEG Electrodes for Neurofeedback and BCI Applications," Journal of Neural Engineering, vol.8, no.2, pp. 1-5, 2011.
11. Y. M. Chi, Y.-T. Wang, Y. Wang, C. Maier, T. P. Jung, G. Cauwenberhs, "Dry and Don-contact EEG Sensors for Mobile Brain-Computer Interfaces," IEEE Trans. on Neural Syst. And Rehab. Eng. vol.20, pp. 228-235, March 2012.
12. C.-T. Lin, L.-D. Liao, Y.-H. Liu, I-J. Wang, B.-S. Lin, and J.-Y. Chang., "Novel Dry Polymer Foam Electrodes for Ling-Term EEG Measurement," IEEE Trans. on Biomed. Eng. vol.58, pp. 1200-1207, May 2011.
13. J.-C. Chiou, L.-W. Ko, C.-T. Lin, C.-T. Hong, T.-P. Jung, S.-F. Liang, and J.-L. Jeng, "Using novel mems eeg sensors in detecting drowsiness application," in Biomedical Circuits and Systems Conference, 2006. BioCAS 2006. IEEE, Nov. 2006, pp. 33-36.
14. Y. Wang, Y.-T. Wang, and T.-P. Jung, "Visual stimulus design for high-rate SSVEP BCI", Electronics Letters, vol.46, no. 15, pp. 1057-1058, 2010.