Spatial filters to detect steady-state visual evoked potentials elicited by high frequency stimulation: BCI application

Biomedizinische Technik

Volumn 55, Issue 3, 2010, Pages 173-182

  Molina, Gary Garcia ^a   Mihajlovic, Vojkan ^a  

^a PHILIPS RESEARCH LABORATORIES   (Netherlands)

Author keywords

Brain computer interface (BCI); High frequency visual stimulation; Spatial filtering; Steady state visual evoked potential (SSVEP)

Indexed keywords

CALIBRATION PROCEDURE; FILTERED SIGNALS; HIGH FREQUENCY; HIGH FREQUENCY HF; OPTIMUM SPATIAL FILTERS; ORTHOGONAL COMPONENTS; SHORT SIGNAL; SINUSOIDAL SIGNALS; SPATIAL FILTERINGS; SPATIAL FILTERS; STEADY-STATE VISUAL EVOKED POTENTIALS; STIMULATION FREQUENCIES; TRANSFER RATES; USER TRAINING; VISUAL STIMULATION;

BIOELECTRIC POTENTIALS; ELECTROPHYSIOLOGY; INTERFACES (COMPUTER); SIGNAL DETECTION; VECTOR SPACES; VECTORS;

BRAIN COMPUTER INTERFACE;

ADULT; ALGORITHM; ANIMAL; ARTICLE; BIOLOGICAL MODEL; BRAIN MAPPING; COMPUTER INTERFACE; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; EVOKED VISUAL RESPONSE; FEMALE; HUMAN; MALE; METHODOLOGY; PHYSIOLOGY; VISUAL CORTEX;

ALGORITHMS; ANIMALS; BRAIN MAPPING; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, VISUAL; FEMALE; HUMANS; MALE; MODELS, NEUROLOGICAL; USER-COMPUTER INTERFACE; VISUAL CORTEX; YOUNG ADULT;

EID: 77953280087     PISSN: 00135585     EISSN: None     Source Type: Journal    
DOI: 10.1515/BMT.2010.013     Document Type: Article

References (21)

1. Biosemi. Biosemi system (http://www.biosemi.com).
2. Cheng M, Gao X, Gao S, Xu D. Design and implementation of a brain-computer interface with high transfer rates. IEEE Trans Biomed Eng 2002; 49: 1181-1186.
3. Ding J, Sperling G, Srinivasan R. Attentional modulation of SSVEP power depends on the network tagged by the flicker frequency. Cerebral Cortex 2006; 16: 1016-1029.
4. Ellis KA, Silberstein RB, Nathan PJ. Exploring the temporal dynamics of the spatial working memory n-back task using steady state visual evoked potentials (SSVEP). NeuroImage 2006; 31: 1741-1751.
5. Fisher RS, Harding G, Erba G, Barkley GL, Wilkins A. Photic-and pattern-induced seizures: a review for the Epilepsy Foundation of America Working Group. Epilepsia 2005; 46: 1426-1441.
6. Friman O, Volosyak I, Gräser A. Multiple channel detection of steady-state visual evoked potentials for brain-computer interfaces. IEEE Trans Biomed Eng 2007; 54: 742-750.
7. Garcia Molina G. Detection of high-frequency steady state visual evoked potentials using phase rectified reconstruction. In: Proceedings of the 16th European Signal Processing Conference (EUSIPCO), Lausanne, Switzerland, August 25-29, 2008. http://www.eurasip.org/Proceedings/Eusipco/ Eusipco2008/papers/ 1569104798.pdf.
8. Jasper HH. The ten-twenty electrode system of the international federation. Electroencephalogr Clin Neurophysiol 1958; 10: 371-375.
9. Kelly SP, Lalor EC, Reilly RB, Foxe JJ. Visual spatial attention tracking using high-density SSVEP data for independent brain-computer communication. IEEE Trans Neural Syst Rehabil Eng 2005; 13: 172-178.
10. Meyer C. Matrix analysis and applied linear algebra book and solutions manual. Philadelphia, PA: SIAM 2000.
11. Mightex. Universal LED controllers (www.mightexsystems. com).
12. Pastor MA, Artieda J, Arbizu J, Valencia M, Masdeu JC. Human cerebral activation during steady-state visual-evoked responses. J Neurosci 2003; 23: 11621-11627.
13. Prieto RE. A general solution to the maximization of the multidimensional generalized Rayleigh quotient used in linear discriminant analysis for signal classification. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hong Kong, China, April 6-10, 2003; 6: 157-160.
14. Quirk JA, Fish DR, Smith SJM, Sander JWAS, Shorvon SD, Allen PJ. Incidence of photosensitive epilepsy: a prospective national study. Electroencephalogr Clin Neurophysiol 2000; 95: 260-267.
15. Regan D. Human brain electrophysiology: evoked potentials and evoked magnetic fields in science and medicine. Amsterdam: Elsevier 1989.
16. Schlögl A, Kronegg J, Huggins JE, Mason SG. Evaluation criteria for BCI research. In: Dornhege G, del Millán JR, Hinterberger T, McFarland DJ, Müller KR, editors. Toward brain-computer interfacing. Cambridge, MA: MIT Press 2007: 327-342.
17. Sewell G. Computational methods of linear algebra. 2nd edition. New Jersey: Wiley 2005.
18. Silberstein RB, Nunez PL, Pipingas A, Harris P, Danieli F. Steady state visually evoked potential (SSVEP) topography in a graded working memory task. Int J Psychophysiol 2001; 42: 219-232.
19. Wang Y, Gao X, Hong B, Jia C, Gao S. Brain-computer interfaces based on visual evoked potentials. IEEE Eng Med Biol Mag 2008; 27: 64-71.
20. Wolpaw JR, Birbaumer N, McFarland DJ, Pfurtscheller G, Vaughan TM. Brain-computer interfaces for communication and control. J Clin Neurophysiol 2002; 113: 767-791.
21. Zhenghua W, Yongxiu L, Yang X, Dan W, Dezhong Y. Stimulation selection in SSVEP-based BCI. Med Eng Phys 2008; 30: 1079-1088.