Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain-computer interface

NeuroImage

Volumn 34, Issue 4, 2007, Pages 1416-1427

  Sitaram, Ranganatha ^a,b   Zhang, Haihong ^a   Guan, Cuntai ^a   Thulasidas, Manoj ^a   Hoshi, Yoko ^c   Ishikawa, Akihiro ^e   Shimizu, Koji ^e   Birbaumer, Niels ^b,d  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b UNIVERSITY OF TÜBINGEN   (Germany)

^c TOKYO METROPOLITAN INSTITUTE OF MEDICAL SCIENCE   (Japan)

^d NATIONAL INSTITUTES OF HEALTH   (United States)

^e SHIMADZU CORPORATION   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

HEMOGLOBIN;

ACCURACY; ADULT; ALGORITHM; ARTICLE; BRAIN COMPUTER INTERFACE; CONTROLLED STUDY; FEASIBILITY STUDY; FEMALE; HAND; HEMODYNAMICS; HIDDEN MARKOV MODEL; HUMAN; HUMAN EXPERIMENT; IMAGERY; MALE; MOTOR CORTEX; NEAR INFRARED SPECTROSCOPY; NORMAL HUMAN; ONLINE SYSTEM; OXYGENATION; PATTERN RECOGNITION; PRIORITY JOURNAL; SIGNAL PROCESSING; SPELLING; SUPPORT VECTOR MACHINE;

ADULT; BRAIN; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; MOTOR ACTIVITY; MOTOR CORTEX; MOTOR NEURON DISEASE; REFERENCE VALUES; SPECTROPHOTOMETRY, INFRARED; USER-COMPUTER INTERFACE;

EID: 33846639587     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2006.11.005     Document Type: Article

References (44)

1. Beisteiner R., Hollinger P., Lindinger G., Lang W., and Berthoz A. Mental representation of movements. Brain potentials associated with imagination of hand movements. Electroencephalogr. Clin. Neurophysiol. (1995) 183-193
2. Benaron D.A., Hintz S.R., Villringer A., Boas D., Kleinschmidt A., Frahm J., Hirth C., Obrig H., van Houten J.C., Kermit E.L., Cheong W.F., and Stevenson D.K. Noninvasive functional imaging of human brain using light. J. Cereb. Blood Flow Metab. 20 (2000) 469-477
3. Birbaumer N. Brain-computer-interface research: coming of age. Clin. Neurophysiol. 117 (2006) 479-483
4. Birbaumer N., Ghanayim N., Hinterberger T., Iversen I., Kotchoubey B., Kubler A., Perelmouter J., Taub E., and Flor H. A spelling device for the paralysed. Nature 398 (1999) 297-298
5. Birbaumer N., Kubler A., Ghanayim N., Hinterberger T., Perelmouter J., Kaiser J., Iversen I., Kotchoubey B., Neumann N., and Flor H. The thought translation device (TTD) for completely paralyzed patients. IEEE Trans. Rehabil. Eng. 8 (2000) 190-193
6. Birbaumer N., Hinterberger T., Kubler A., and Neumann N. The thought-translation device (TTD): neurobehavioral mechanisms and clinical outcome. IEEE Trans. Neural Syst. Rehabil. Eng. 11 (2003) 120-123
7. Blankertz B., Curio G., and Muller K. Classifying Single Trail EEG: Toward Brain Computer Interfacing (2001), MIT Press, Cambridge, MA
8. Chang, C.C., Lin, C.J., 2001. LIBSVM-A Library for Support Vector Machines. http://www.csie.ntu.edu.tw/cjlin/libsvm/.
9. Coyle S., Ward T., Markham C., and McDarby G. On the suitability of near-infrared (NIR) systems for next-generation brain-computer interfaces. Physiol. Meas. 25 (2004) 815-822
10. Delpy D.T., Cope M., van der Zee P., Arridge S., Wray S., and Wyatt J. Estimation of optical pathlength through tissue from direct time of flight measurement. Phys. Med. Biol. 33 (1988) 1433-1442
11. Hoshi Y., and Tamura M. Dynamic multichannel near-infrared optical imaging of human brain activity. J. Appl. Physiol. 75 (1993) 1842-1846
12. Hoshi Y., and Tamura M. Near-infrared optical detection of sequential brain activation in the prefrontal cortex during mental tasks. NeuroImage 5 (1997) 292-297
13. Hoshi Y., Oda I., Wada Y., Ito Y., Yutaka Y., Oda M., Ohta K., Yamada Y., and Mamoru T. Visuospatial imagery is a fruitful strategy for the digit span backward task: a study with near-infrared optical tomography. Brain Res. Cogn. Brain Res. 9 (2000) 339-342
14. Hoshi Y., Kobayashi N., and Tamura M. Interpretation of near-infrared spectroscopy signals: a study with a newly developed perfused rat brain model. J. Appl. Physiol. 90 (2001) 1657-1662
15. Kato T., Kamei A., Takashima S., and Ozaki T. Human visual cortical function during photic stimulation monitoring by means of near-infrared spectroscopy. J. Cereb. Blood Flow Metab. 13 (1993) 516-520
16. Kennan R.P., Horovitz S.G., Maki A., Yamashita Y., Koizumi H., and Gore J.C. Simultaneous recording of event-related auditory oddball response using transcranial near infrared optical topography and surface EEG. NeuroImage 16 (2002) 587-592
17. Kleinschmidt A., Obrig H., Requardt M., Merboldt K.D., Dirnagl U., Villringer A., and Frahm J. Simultaneous recording of cerebral blood oxygenation changes during human brain activation by magnetic resonance imaging and near-infrared spectroscopy. J. Cereb. Blood Flow Metab. 16 (1996) 817-826
18. Obermaier B., Guger C., and Pfurtscheller G. Hidden Markov models used for the offline classification of EEG data. Biomed. Tech. (Berl.) 44 (1999) 158-162
19. Obermaier B., Guger C., Neuper C., and Pfurtscheller G. Hidden Markov models for online classification of single trial EEG data. Pattern Recogn. Lett. (2001) 1299-1309
20. Okada M., Firbank M., Schweiger S., Arridge M., and Delpy C.D. Theoretical and experimental investigation of the near-infrared light propagation in a model of the adult head. Appl. Opt. 36 (1997) 21-31
21. Parks T.W., and Burrus C.S. Digital Filter Design (1987), John Wiley and Sons, New York
22. Pfurtscheller G., Neuper C., Schlogl A., and Lugger K. Separability of EEG signals recorded during right and left motor imagery using adaptive autoregressive parameters. IEEE Trans. Rehabil. Eng. 6 (1998) 316-325
23. Pfurtscheller G., Neuper C., Guger C., Harkam W., Ramoser H., Schlogl A., Obermaier B., and Pregenzer M. Current trends in Graz Brain-computer Interface (BCI) research. IEEE Trans. Rehabil. Eng. 8 (2000) 216-219
24. Pfurtscheller G., Brunner C., Schlogl A., and Lopes da Silva F.H. Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks. NeuroImage 31 (2006) 153-159
25. Rabiner L.R. A tutorial on hidden Markov models and selected applications in speech recognition. Proc. I.E.E.E. 77 (1989) 257-286
26. Rabiner L., and Juang B.H. Fundamentals of Speech Recognition (1993), Prentice-Hall, Englewoord Cliffs, NJ
27. Serruya M.D., Hatsopoulos N.G., Paninski L., Fellows M.R., and Donoghue J.P. Instant neural control of a movement signal. Nature 416 (2002) 141-142
28. In: Sitaram R., Hoshi Y., and Guan C. (Eds). Near Infrared Spectroscopy based Brain-Computer Interface vol. 5852 (2005)
29. Vapnik V.N. Statistical Learning Theory (1998), Wiley, New York
30. Villringer A., and Obrig H. Near Infrared Spectroscopy and Imaging (2002), Elsevier Science, USA
31. Weiskopf N., Veit R., Erb M., Mathiak K., Grodd W., Goebel R., and Birbaumer N. Physiological self-regulation of regional brain activity using real-time functional magnetic resonance imaging (fMRI): methodology and exemplary data. NeuroImage 19 (2003) 577-586
32. Weiskopf N., Mathiak K., Bock S.W., Scharnowski F., Veit R., Grodd W., Goebel R., and Birbaumer N. Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI). IEEE Trans. Biomed. Eng. 51 (2004) 966-970
33. Weiskopf N., Scharnowski F., Veit R., Goebel R., Birbaumer N., and Mathiak K. Self-regulation of local brain activity using real-time functional magnetic resonance imaging (fMRI). J. Physiol. (Paris) 98 (2004) 357-373
34. Wolf M., Wolf U., Choi J.H., Gupta R., Safonova L.P., Paunescu L.A., Michalos A., and Gratton E. Functional frequency-domain near-infrared spectroscopy detects fast neuronal signal in the motor cortex. NeuroImage 17 (2002) 1868-1875
35. Wolf M., Wolf U., Choi J.H., Gupta R., Safonova L.P., Paunescu L.A., Michalos A., and Gratton E. Detection of the fast neuronal signal on the motor cortex using functional frequency domain near infrared spectroscopy. Adv. Exp. Med. Biol. 510 (2003) 193-197
36. Wolf M., Wolf U., Choi J.H., Toronov V., Paunescu L.A., Michalos A., and Gratton E. Fast cerebral functional signal in the 100-ms range detected in the visual cortex by frequency-domain near-infrared spectrophotometry. Psychophysiology 40 (2003) 521-528
37. Wolpaw J.R. Brain-computer interfaces (BCIs) for communication and control: a mini-review. Clin. Neurophysiol., Suppl. 57 (2004) 607-613
38. Wolpaw J.R., and McFarland D.J. Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. Proc. Natl. Acad. Sci. U. S. A. 101 (2004) 17849-17854
39. Wolpaw J.R., Birbaumer N., Heetderks W.J., McFarland D.J., Peckham P.H., Schalk G., Donchin E., Quatrano L.A., Robinson C.J., and Vaughan T.M. Brain-computer interface technology: a review of the first international meeting. IEEE Trans. Rehabil. Eng. 8 (2000) 164-173
40. Wolpaw J.R., McFarland D.J., and Vaughan T.M. Brain-computer interface research at the Wadsworth Center. IEEE Trans. Rehabil. Eng. 8 (2000) 222-226
41. Wolpaw J.R., Birbaumer N., McFarland D.J., Pfurtscheller G., and Vaughan T.M. Brain-computer interfaces for communication and control. Clin. Neurophysiol. 113 (2002) 767-791
42. Wolpaw J.R., Loeb G.E., Allison B.Z., Donchin E., do Nascimento O.F., Heetderks W.J., Nijboer F., Shain W.G., and Turner J.N. BCI meeting 2005-Workshop on signals and recording methods. IEEE Trans. Neural Syst. Rehabil. Eng. 14 (2006) 138-141
43. Young S.J., Woodland P.C., and Byrne W.J. HTK Version 1.5: User, Reference and Programmer Manual (1993), Entropic Research Laboratories, Washington, DC
44. Zhang H., and Guan C. Kernel-based signal localization method for NIRS brain-computer interfaces. Proceedings of the International Conference on Pattern Recognition, Hong Kong (2006)