P300 based Brain computer interface for alternative communication: a case study with two teenagers with motor disabilities

Authors

  • Eliana García Cossio School of Engineering of Antioquia
  • Carlos Fernandez University of Antioquia
  • Maria Eugenia Gaviria Headquarters Ltd.
  • Catalina Palacio Headquarters Ltd.
  • Liliana Alvarán CES University
  • Róbinson Alberto Torres Villa School of Engineering of Antioquia

DOI:

https://doi.org/10.17533/udea.redin.13651

Keywords:

brain computer interface, P300, motor disability, technical assistances

Abstract

Brain computer interface systems use brain signals to enable the control of external devices, such as: wheelchairs, communicators, neuro-prosthesis, among others; in people with severe motor disabilities. In this study two young men with motor disabilities were trained to learn how to control a brain computer interface (BCI) using the P300 evoked potential recorded by electroencephalography (EEG). This interface enables the verbal communication through a stimulation matrix (4x3 rows and columns) that contains the picture of current football players and a sound related to each one which reproduced the name of them. Initially, we did the preparation stage that allowed the users to learn how to control the BCI. After this, the real probes were performed in two stages: the training tests and the online tests, where the participant could select the icons that he wanted through his brain signals. The average percentages of success for each participant were: 95% and 85%, respectively. The average time for an icon selection was 36 seconds (i.e.1.67 letters/minute).

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Author Biographies

Eliana García Cossio, School of Engineering of Antioquia

Laboratory of Bioinstrumentation and signal processing (KIRON). GIBEC research group.

Carlos Fernandez, University of Antioquia

Biotechnology Group.

Liliana Alvarán, CES University

Faculty of Psychology.

Róbinson Alberto Torres Villa, School of Engineering of Antioquia

Laboratory of Bioinstrumentation and signal processing (KIRON). GIBEC research group.

References

M. A. Lebedev, M. A. Nicolellis. “Brain machine interfaces: past, present and future”. Trends Neurosci. Vol. 29. 2006. pp. 536-546. DOI: https://doi.org/10.1016/j.tins.2006.07.004

N. Birbaumer, A. R. Murguialday, L. Cohen. “Brain computer interface in paralysis.” Current opinion in Neurology. Vol. 21. 2008. pp. 634-638. DOI: https://doi.org/10.1097/WCO.0b013e328315ee2d

N. Birbaumer, L. Cohen. “Brain computer interfaces (BCI): Communications and restoration of movement in paralysis.” Journal Physiology. Vol. 579. 2007. pp. 621-636. DOI: https://doi.org/10.1113/jphysiol.2006.125633

E. A. Felton, J. A. Wilson, J. C. Williams, P. C Garell. “Electrocorticographycally controlled brain-computer interfaces using electrode implants.” J. Physiology. Vol. 106. 2007. pp. 495-500. DOI: https://doi.org/10.3171/jns.2007.106.3.495

A. Caria, R. Veit, R. Sitaram. “Regulation of anterior insular cortex activity using real-time fMRI.” Neuroimage. Vol. 35. 2007. pp. 1416-1427. DOI: https://doi.org/10.1016/j.neuroimage.2007.01.018

R. Sitaram, H. Zhang, C. Guan. “Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain-computer interface.” Neuroimagen. Vol. 34. 2007. pp. 1416-1427. DOI: https://doi.org/10.1016/j.neuroimage.2006.11.005

C. Arboleda, E. García, A. Posada, R. Torres. “Prototipo de interfaz cerebro-computador para facilitar la comunicación de personas en situación de discapacidad motora.” Revista EIA. Vol. 11. 2009. pp. 105-115.

J. Arcos. Validación estadística del prototipo de una interfaz cerebro-computador (BCI). Trabajo de Grado. Escuela de Ingeniería de Antioquia y Universidad CES. 2010. pp. 43-78.

L. A. Farwell, E. Donchin. “Talking off the top of your head: toward a mental prosthesis utilizaing eventrelated brain potentials.” Electroencephalogr. Clin. Neurophysiolo. Vol. 70. 1988. pp. 510-523. DOI: https://doi.org/10.1016/0013-4694(88)90149-6

T. W. Picton. “The P300 wave of the human eventrelated potencial.” J. Clin. Nurophysiol. Vol. 9. 1992. pp. 456-479. DOI: https://doi.org/10.1097/00004691-199210000-00002

J. Polich “P300 in clinical applications.” Electroencephalography: Basic Principles. Clinical Applications and Related Fields. E. Niedermeyer, F. Lopes da Silva and M. Revol (editors). Ed. Urban and Schwarzenberg. Baltimore (Munich). 1999. pp. 1073- 1091

G. Schalk, T. McFarland, N. Hinterberger, N. Birbaumer, J. Wolpaw. “BCI2000: a general purpose brain computer interface (BCI) system.” Transactions on Biomedical Engineering. Vol. 51. 2004. pp. 1034- 1043. DOI: https://doi.org/10.1109/TBME.2004.827072

E. Niedermeyer, F. Lopes da Silva. Electroencefalography Basic Principles Clinical Applications and Related Fields. 5 ed. Ed. Lippincott Williams & Wilkins. Phildelphia, USA. 2005. pp. 139- 141.

G. Schalk. Toward a clinically practical brain computer interface. PhD. Thesis. Rensselaer Polytechnic Institute. New York. 2006. pp. 10-11.

D. Krusienski, E. Sellers, D. McFarland, T. Vaughan. “Toward enhanced P300 Speller performance.” Journal of Neuroscience Methods. Vol. 167. 2008. pp. 15-21. DOI: https://doi.org/10.1016/j.jneumeth.2007.07.017

A. Kübler, B. Korchoubey, J. Kaiser, J. Wolpaw, N. Birbaumer. “Brain computer communication: unlocking the locked-in.” Phychol. Bull. Vol. 127. 2001. pp. 358-375. DOI: https://doi.org/10.1037//0033-2909.127.3.358

S. H. Patel, P. N. Azzam. “Characterization of N200 and P300: Selected Studies of the Event-related Potencial.” Int J Med Sci. Vol. 2. 2005. pp. 147-154. DOI: https://doi.org/10.7150/ijms.2.147

J. Polich, , L. Howard, A. Starr. “P300 latency correlates with digit span.” Psychophysiology. Vol. 20. 1983. pp. 665-669. DOI: https://doi.org/10.1111/j.1469-8986.1983.tb00936.x

J. Polich, C. Ladish, T. Burns. “Normal variation of P300 in children: age, memory span, and head size.” Int. J. Psychophysiology. Vol. 9. 1990. pp. 237-238. DOI: https://doi.org/10.1016/0167-8760(90)90056-J

I. Kiss, R. M Dashieff, P. Lordeon. “A parieto-occipital generator for P300: evidence from human intracranial recordings.” Int J Neuroscience. Vol. 49. 1989. pp. 133- 139. DOI: https://doi.org/10.3109/00207458909087048

S. C. Kleih, , F. Nijboer, S. Halder, A. Kübler. “Motivation modulates the P300 amplitude during brain-computer interface use.” Clinical Neurophysiology. Vol. 121. 2010. pp. 1023-1031. DOI: https://doi.org/10.1016/j.clinph.2010.01.034

C. Neuper, G. R. Müller, A. Kübler, N. Birbaumer, G. Pfurtscheller. “Clinical application of an EEG-based brain-computer interface: a case study in a patient with severe motor impairment.” Clinical Neurophysiology. Vol. 114. 2003. pp. 399-409. DOI: https://doi.org/10.1016/S1388-2457(02)00387-5

Published

2012-11-22

How to Cite

García Cossio, E., Fernandez, C., Gaviria, M. E., Palacio, C., Alvarán, L., & Torres Villa, R. A. (2012). P300 based Brain computer interface for alternative communication: a case study with two teenagers with motor disabilities. Revista Facultad De Ingeniería Universidad De Antioquia, (60), 9–19. https://doi.org/10.17533/udea.redin.13651

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