Investigating the need for modelling temporal dependencies in a brain-computer interface with real-time feedback based on near infrared spectra

Journal of Near Infrared Spectroscopy

Volumn 20, Issue 1, 2012, Pages 107-116

  Chan, Justin ^a   Power, Sarah ^a   Chau, Tom ^a  

^a HOLLAND BLOORVIEW KIDS REHABILITATION HOSPITAL   (Canada)

Author keywords

Artificial neural network; Brain computer interface; Feedback; Hidden markov model; Near infrared spectroscopy

Indexed keywords

EID: 84859036925     PISSN: 09670335     EISSN: None     Source Type: Journal    
DOI: 10.1255/jnirs.971     Document Type: Article

References (31)

1. S. Bunce, M. Izzetoglu, K. Izzetoglu, B. Onaral and K. Pourrezaei, "Functional near infrared spectroscopy: An emerging neuroimaging modality", IEEE Eng. Med. Biol. Mag. (Special issue on Clinical Neuroengineering) 25(4), 54 (2006).
2. A. Villringer and B. Chance, "Non-invasive optical spectroscopy and imaging of human brain function", Trends Neurosci. 20(10), 435 (1997). doi:10.1016/S0166-2236 (97) 01132-6
3. M. Naito, Y. Michioka, K. Ozawa, Y. Ito, M. Kiguchi and T. Kanazawa, "A communication means for totally lockedin ALS patients based on changes in cerebral blood volume measured with near-infrared light", IEICE Trans. Inf. Syst. E90-D (7), 1028 (2007). doi:10.1093/ietisy/e90-d.7.1028
4. K. Utsugi, A. Obata, H. Sato, T. Katsura, K. Sagara, A. Maki and H. Koizumi, "Development of an optical brain-machine interface", Conf Proc IEEE Eng. Med. Biol. Soc. pp. 5338-5431 (2007).
5. S. Coyle, T. Ward, C. Markham and G. McDarby, "On the suitability of near-infrared (NIR) systems for nextgeneration brain-computer interfaces", Physiol. Meas. 25, 815 (2004). doi:10.1088/0967-3334/25/4/003 (Pubitemid 39121166)
6. R. Sitaram, Y. Hoshi and C. Guan, "Near infrared spectroscopy based brain-computer interface", in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Volume 5852 of Society of Photo-Optical Instrumentation Engineers (SPIE) Conference 2005, p. 434 (2005).
7. R. Sitaram, H. Zhang, C. Guan, M. Thulasidas, Y. Hoshi, A. Ishikawa, K. Shimizu and N. Birbaumer, "Temporal Classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain-computer interface", NeuroImage 34, 1416 (2007). doi:10.1016/j. neuroimage.2006.11.005 (Pubitemid 46187084)
8. H. Ayaz, P. Shewokis, S. Bunce, M. Schultheis and B. Onaral, "Assessment of cognitive neural correlates for a functional near infrared-based brain computer interface system", in Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, Ed by D.D. Schmorrow, I.V. Estabrooke and M. Grootjen. Lecture Notes on Artificial Intelligence, Vol. 5638: pp. 699-708 (2009).
9. S. Coyle, T. Ward and C. Markham, "Brain-computer interface using a simplified functional near-infrared spectroscopy system", J. Neural Eng. 4, 219 (2007). doi:10.1088/1741-2560/4/3/007
10. S. Luu and T. Chau, "Decoding subjective preference from single-trial near-infrared spectroscopy signals", J. Neural Eng. 6, 016003 (2009). doi:10.1008/1741-2560/6/1/016003
11. F. Matthews, B. Pearlmutter, T. Ward, C. Soraghan and C. Markham, "Hemodynamics for brain-computer interfaces: Optical correlates of control signals", IEEE Signal Process. Mag. 87, (2008). doi:10.1109/MSP.2008. 4408445
12. S. Power, T. Falk and T. Chau, "Classification of prefrontal activity due to mental arithmetic and music imagery using hidden Markov models and frequency domain near-infrared spectroscopy", J. Neural Eng. 7(2), 026002 (2010). doi:10.1088/1741-2560/7/2/026002
13. K. Tai and T. Chau, "Single-trial Classification of NIR signals during emotional induction tasks: towards a corporeal machine interface", J. NeuroEng. Rehab. 6, 39 (2009). doi:10.1186/1743-0003-6-39
14. T. Tsubone, T. Muroga and Y. Wada, "Application to robot control using brain function measurement by nearinfrared spectroscopy", Conf. Proc. IEEE Eng. Med. Biol. Soc., p. 5342 (2007). doi:10.1109/IEMBS.2007.4353548
15. A. Abdelnour and T. Huppert, "Real-time imaging of human brain function by near-infrared spectroscopy using an adaptive general linear model", NeuroImage 46, 133 (2009). doi:10.1016/j.neuroimage.2009.01.033
16. T. Yamamoto, A. Maki, T. Kadoya, Y. Tanikawa, Y. Yamada, E. Okada and H. Koizumi, "Arranging optical fbres for the spatial resolution improvement of topographical images", Phys. Med. Biol. 40, 3429 (2007).
17. T. Germon, P. Evans, N. Barnett, P. Wall, A. Manara and R. Nelson, "Cerebral near infrared spectroscopy: emitter-detector separation must be increased", Br. J. Anaesth. 82(6), 831 (1999).
18. M. Franceschini, S. Fantini, V. Toronov, M. Filiaci and E. Gratton, "Cerebral hemodynamics measured by near-infrared spectroscopy at rest and during motor activation", in Proceedings of an Inter-institute Workshop on In Vivo Optical Imaging at the NIH, Ed by A. Ganjbakhche. Optical Society of America, Washington, DC, USA, p. 73 (1999).
19. T. O'Hanlon-Nichols, "Basic assessment series: The adult pulmonary system", Am. J. Nurs. 98(2), 39 (1998).
20. M. Cope, "The development of a near infrared spectroscopy system and its application for non-invasive monitoring of cerebral blood and tissue oxygenation in the newborn infant", PhD thesis, University of London, London, UK (1991).
21. A. Duncan, J. Meek, M. Clemence, C. Elwell, L. Tyszczuk, M. Cope and D. Delpy, "Optical pathlength measurements on adult head, calf and forearm and the head of the newborn infant using phase resolved optical spectroscopy", Phys. Med. Biol. 40, 295 (1995). doi:10.1088/0031-9155/40/2/007
22. R. Duda, P. Hart and D. Stork, Pattern Classification, 2nd Edn. Wiley-Interscience, New York, USA (2000).
23. T. Falk, K. Paton and T. Chau, "Improving the performance of NIR-based brain-computer interfaces in the presence of acoustic background noise", in Proceedings of an International Conference on Acoustics, Speech and Signal Processing 517-520 (2010). doi:10.1109/ICASSP.2010.5495643
24. F. Robertson, T. Douglas and E. Meintjes, "Motion artefact removal for functional near infrared spectroscopy: A comparison of methods", IEEE Trans. Biomed. Eng. 57, 1377 (2010). doi:10.1109/TBME.2009.2038667
25. A. Guyton and J. Hall, Textbook of Medical Physiology, 11th Edn. Elsevier Saunders, Philadelphia, USA (2006).
26. C. Neuper, A. Schlögl and G. Pfurtscheller, "Enhancement of left-right sensorimotor EEG differences during feedback-regulated motor imagery", J. Clin. Neurophysiol. 16(4), 373 (1999). doi:10.1097/00004691- 199907000-00010 (Pubitemid 29404280)
27. A. Barbero and M. Grosse-Wentrup, "Biased feedback in brain-computer interfaces", J. NeuroEng. Rehab. 7, 34 (2010). doi:10.1186/1743-0003-7-34
28. C. Guger, G. Edlinger, W. Harkam, I. Niedermayer and G. Pfurtscheller, "How many people are able to operate an EEG-based brain-computer interface (BCI) ?" IEEE Trans. Neural Syst. Rehab. Eng. 11(2), 145 (2003). doi:10.1109/TNSRE.2003.814481 (Pubitemid 36935043)
29. J. Mayhew, "Neuroscience: A measured look at neuronal oxygen consumption", Science 299(5609), 1023 (2003). doi:10.1126/science.1082403 (Pubitemid 36222915)
30. J. Duffy, R. Kronauer and C. Czeisler, "Phase-shifting human circadian rhythms: Influence of sleep timing, social contact and light exposure", J. Physiol. 495, 289 (1996).
31. G. Dirnberger, C. Duregger, E. Trettler, G. Lindinger and W. Lang, "Fatigue in a simple repetitive motor task: A combined electrophysiological and neuropsychological study", Brain Res. 1028, 26 (2004). doi:10.1016/j.brainres.2004.08.045 (Pubitemid 39424175)