Skip to main content

Brain–Computer Interfaces and Assistive Technology

  • Chapter
  • First Online:
Brain-Computer-Interfaces in their ethical, social and cultural contexts

Abstract

Assistive technology (AT) supports individuals with motor, sensory, or cognitive disabilities in performing functions that might otherwise be difficult or impossible for them. In particular, individuals with severe motor impairments have a high need for assistive devices supporting access to information technologies, improving mobility, and restoring manipulation abilities. Established human–machine interfaces are dependent on the presence of a sufficient number of residual motor functions. Brain–Computer Interfaces (BCIs) are technical systems that provide a direct connection between the human brain and a computer and can serve as a user interface for the control of assistive devices. Historically, non-invasive BCIs were intended to provide basic communication skills to patients with locked-in syndrome. Since then BCI technology has evolved tremendously and nowadays BCIs are used as an alternative or additional control channel for many other applications. Among them are extended communication applications like accessing the internet or Brain Painting. Wheelchairs and telepresence robots can be navigated with the help of BCIs, and motor-imagery-based BCIs in particular are an attractive perspective for an intuitive neuroprosthesis control. The recent development of the hybrid BCI combining a BCI with other preserved control signals fits well in the user-centered design concept, since BCIs can be seamlessly integrated in traditional AT. Although current non-invasive BCIs are at the stage of entering people’s homes, they still cannot be operated by end-users alone. More home-based studies are needed to further improve the usability and reliability of BCIs and to better address specific needs and requirements of end-users.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://www.rostock-heute.de/brain-painting-kunsthalle-rostock-adie-hoesle/41228. Accessed 24 April 2013.

References

  • Allison, B.Z., R. Leeb, C. Brunner, G.R. Müller-Putz, G. Bauernfeind, J.W. Kelly, and C. Neuper. 2012. Toward smarter BCIs: Extending BCIs through hybridization and intelligent control. Journal of Neural Engineering 9(1): 013001. doi:10.1088/1741-2560/9/1/013001.

    Article  Google Scholar 

  • Anderson, K.D. 2004. Targeting recovery: Priorities of the spinal cord-injured population. Journal of Neurotrauma 21(10): 1371–1383.

    Article  Google Scholar 

  • Bensch, M., A.A. Karim, J. Mellinger, T. Hinterberger, M. Tangermann, M. Bogdan, W. Rosenstiel, and N. Birbaumer. 2007. Nessi: An EEG-controlled web browser for severely paralyzed patients. Computational Intelligence and Neuroscience 71863. doi:10.1155/2007/71863.

  • Bentin, S., T. Allison, A. Puce, E. Perez, and G. McCarthy. 1996. Electrophysiological studies of face perception in humans. Journal of Cognitive Neuroscience 8(6): 551–565. doi:10.1162/jocn.1996.8.6.551.

    Article  Google Scholar 

  • Birbaumer, N., N. Ghanayim, T. Hinterberger, I. Iversen, B. Kotchoubey, A. Kübler, J. Perelmouter, E. Taub, and H. Flor. 1999. A spelling device for the paralysed. Nature 808(6725): 297–298.

    Article  Google Scholar 

  • Blankertz, B., G. Dornhege, M. Krauledat, K.R. Müller, V. Kunzmann, F. Losch, and G. Curio. 2006. The Berlin brain-computer interface: EEG-based communication without subject training. IEEE Transactions on Neural Systems and Rehabilitation Engineering 14(2): 147–152. doi:10.1109/TNSRE.2006.875557.

    Article  Google Scholar 

  • Borenstein, J., and Y. Koren. 1991. The vector field histogram – Fast obstacle avoidance for mobile robots. IEEE Transactions on Robotics and Automation 7(3): 278–288.

    Article  Google Scholar 

  • Bradberry, T.J., R.J. Gentili, and J.L. Contreras-Vidal. 2010. Reconstructing three-dimensional hand movements from noninvasive electroencephalographic signals. Journal of Neuroscience 30(9): 3432–3437. doi:10.1523/JNEUROSCI.6107-09.2010.

    Article  Google Scholar 

  • Carlson T., and Y. Demiris. 2008. Human-wheelchair collaboration through prediction of intention and adaptive assistance. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Pasadena, CA.

    Google Scholar 

  • Carlson, T., and J.d.R. Millán. 2013. Brain-controlled wheelchairs: A robotic architecture. IEEE Robotics and Automation Magazine 20(1): 65–73.

    Google Scholar 

  • Cincotti, F., D. Mattia, F. Aloise, S. Bufalari, G. Schalk, G. Oriolo, A. Cherubini, M.G. Marciani, and F. Babiloni. 2008. Non-invasive brain-computer interface system: Towards its application as assistive technology. Brain Research Bulletin 75(6): 796–803. doi:10.1016/j.brainresbull.2008.01.007.

    Article  Google Scholar 

  • Clauzel, G., B. Kaltner, C. Breitwieser, and G.R. Müller-Putz. 2012. Combining Hybrid BCI and signal quality monitoring to improve user experience. Paper presented at the 1st international DECODER workshop, Boulogne-Billancourt, France, 11 March 2012.

    Google Scholar 

  • Collinger, J.L., B. Wodlinger, J.E. Downey, W. Wang, E.C. Tyler-Kabara, D.J. Weber, A.J.C. McMorland, M. Velliste, M.L. Boninger, and A.B. Schwartz. 2013. High-performance neuroprosthetic control by an individual with tetraplegia. The Lancet 381(9866): 557–564.

    Article  Google Scholar 

  • Crago, P.E., W.D. Memberg, M.K. Usey, M.W. Keith, R.F. Kirsch, G.J. Chapman, M.A. Katorgi, and E.J. Perreault. 1998. An elbow extension neuroprosthesis for individuals with tetraplegia. IEEE Transactions on Rehabilitation Engineering 6(1): 1–6.

    Article  Google Scholar 

  • Creasey, G.H., K.L. Kilgore, D.L. Brown-Triolo, J.E. Dahlberg, P.H. Peckham, and M.W. Keith. 2000. Reduction of costs of disability using neuroprostheses. Assistive Technology 12(1): 67–75. doi:10.1080/10400435.2000.10132010.

    Article  Google Scholar 

  • Damböck, D., M. Kienle, K. Bengler, and H. Bubb. 2011. The H-metaphor as an example for cooperative vehicle driving. Paper presented at the Proceedings of the 14th international conference on Human-computer interaction: Towards mobile and intelligent interaction environments – Volume Part III, Orlando, FL.

    Google Scholar 

  • Dietz, V., and A. Curt. 2006. Neurological aspects of spinal-cord repair: Promises and challenges. Lancet Neurology 5(8): 688–694. doi:S1474-4422(06)70522-1.

    Article  Google Scholar 

  • Eimer, M. 2000. Event-related brain potentials distinguish processing stages involved in face perception and recognition. Clinical Neurophysiology 111(4): 694–705. doi:S1388-2457(99)00285-0.

    Article  Google Scholar 

  • Enzinger, C., S. Ropele, F. Fazekas, M. Loitfelder, F. Gorani, T. Seifert, G. Reiter, C. Neuper, G. Pfurtscheller, and G.R. Müller-Putz. 2008. Brain motor system function in a patient with complete spinal cord injury following extensive brain-computer interface training. Experimental Brain Research 190(2): 215–223. doi:10.1007/s00221-008-1465-y.

    Article  Google Scholar 

  • Farwell, L.A., and E. Donchin. 1988. Talking off the top of your head: Toward a mental prosthesis utilizing event-related brain potentials. Electroencephalography and Clinical Neurophysiology 70(6): 510–523.

    Article  Google Scholar 

  • Flemisch, O., A. Adams, S.R. Conway, K.H. Goodrich, M.T. Palmer, and P.C. Schutte. 2003. The H-metaphor as a guideline for vehicle automation and interaction. Hampton: NASA.

    Google Scholar 

  • Furdea, A., S. Halder, D.J. Krusienski, D. Bross, F. Nijboer, N. Birbaumer, and A. Kübler. 2009. An auditory oddball (P300) spelling system for brain-computer interfaces. Psychophysiology 46(3): 617–625. doi:10.1111/j.1469-8986.2008.00783.x PSYP783.

    Article  Google Scholar 

  • Galán, F., M. Nuttin, E. Lew, P.W. Ferrez, G. Vanacker, J. Philips, and J.d.R. Millán. 2008. A brain-actuated wheelchair: Asynchronous and non-invasive brain-computer interfaces for continuous control of robots. Clinical Neurophysiology 119(9): 2159–2169.

    Google Scholar 

  • Gan, L.S., and A. Prochazka. 2010. Properties of the stimulus router system; a novel neural prosthesis. IEEE Transactions on Biomedical Engineering 57(2): 450–459. doi:10.1109/TBME.2009.2031427.

    Article  Google Scholar 

  • Ganzini, L., W.S. Johnston, and W.F. Hoffman. 1999. Correlates of suffering in amyotrophic lateral sclerosis. Neurology 52(7): 1434–1440.

    Article  Google Scholar 

  • Gollee, H., I. Volosyak, A.J. McLachlan, K.J. Hunt, and A. Gräser. 2010. An SSVEP-based brain-computer interface for the control of functional electrical stimulation. IEEE Transactions on Bio-medical Engineering 57(8): 1847–1855. doi:10.1109/TBME.2010.2043432.

    Article  Google Scholar 

  • Gordon, T., and J. Mao. 1994. Muscle atrophy and procedures for training after spinal cord injury. Physical Therapy 74(1): 50–60.

    Google Scholar 

  • Gourab, K., and B.D. Schmit. 2010. Changes in movement-related beta-band EEG signals in human spinal cord injury. Clinical Neurophysiology 121(12): 2017–2023. doi:10.1016/j.clinph.2010.05.012.

    Article  Google Scholar 

  • Guger, C., S. Daban, E. Sellers, C. Holzner, G. Krausz, R. Carabalona, F. Gramatica, and G. Edlinger. 2009. How many people are able to control a P300-based brain-computer interface (BCI)? Neuroscience Letters 462(1): 94–98. doi:10.1016/j.neulet.2009.06.045S0304-3940(09)00819-2.

    Article  Google Scholar 

  • Halder, S., M. Rea, R. Andreoni, F. Nijboer, E.M. Hammer, S.C. Kleih, N. Birbaumer, and A. Kübler. 2010. An auditory oddball brain-computer interface for binary choices. Clinical Neurophysiology 121(4): 516–523. doi:10.1016/j.clinph.2009.11.087 S1388-2457(09)00751-2.

    Article  Google Scholar 

  • Hart, R.L., K.L. Kilgore, and P.H. Peckham. 1998. A comparison between control methods for implanted FES hand-grasp systems. IEEE Transactions on Rehabilitation Engineering: A Publication of the IEEE Engineering in Medicine and Biology Society 6(2): 208–218.

    Article  Google Scholar 

  • Hayashi, H., and S. Kato. 1989. Total manifestations of amyotrophic lateral sclerosis. ALS in the totally locked-in state. Journal of the Neurological Sciences 93(1): 19–35.

    Article  Google Scholar 

  • Hentz, V.R., and C. Leclercq. 2002. Surgical rehabilitation of the upper limb. London/Edinburgh/New York: W.B. Saunders.

    Google Scholar 

  • Hill, N.J., D. Gupta, P. Brunner, A. Gunduz, M.A. Adamo, A. Ritaccio, and G. Schalk. 2012. Recording human electrocorticographic (ECoG) signals for neuroscientific research and real-time functional cortical mapping. Journal of Visualized Experiments 64. doi:10.3791/3993 3993.

  • Hochberg, L.R., D. Bacher, B. Jarosiewicz, N.Y. Masse, J.D. Simeral, J. Vogel, S. Haddadin, J. Liu, S.S. Cash, P. van der Smagt, and J.P. Donoghue. 2012. Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature 485(7398): 372–375. doi:10.1038/nature11076.

    Article  Google Scholar 

  • Hoffmann, U., J.M. Vesin, T. Ebrahimi, and K. Diserens. 2008. An efficient P300-based brain-computer interface for disabled subjects. Journal of Neuroscience Methods 167(1): 115–125. doi:S0165-0270(07)00109-4.

    Article  Google Scholar 

  • Höhne, J., M. Schreuder, B. Blankertz, and M. Tangermann. 2011. A novel 9-class auditory ERP paradigm driving a predictive text entry system. Frontiers in Neuroscience 5: 99. doi:10.3389/fnins.2011.00099.

    Article  Google Scholar 

  • Holz, E.M., T. Kaufmann, L. Desideri, M. Malavasi, E.J. Hoogerwerf, and A. Kübler. 2011. User centred design in BCI development. Biological and Medical Physics, Biomedical Engineering 2013: 22.

    Google Scholar 

  • Holz, E., L. Botrel, and A. Kübler. 2013. Bridging gaps: Long-term independent BCI home use by a locked-in end-user. Paper presented at the 4th workshop on Tools for Brain Computer Interaction (TOBI), Sion, Switzerland.

    Google Scholar 

  • Horki, P., C. Neuper, G. Pfurtscheller, and G.R. Müller-Putz. 2010. Asynchronous steady-state visual evoked potential based BCI control of a 2-DoF artificial upper limb. Biomedizinische Technik Biomedical Engineering 55(6): 367–374. doi:10.1515/BMT.2010.044.

    Article  Google Scholar 

  • ISO. 2010. ISO 9241:2010 Ergonomics of human-system interaction Part 210: Human-centred design for interactive systems. Geneva, Switzerland.

    Google Scholar 

  • Iturrate, I., J.M. Antelis, A. Kübler, and J. Minguez. 2009. A noninvasive brain-actuated wheelchair based on a P300 neurophysiological protocol and automated navigation. IEEE Transactions on Robotics 25(3): 614–627.

    Article  Google Scholar 

  • Kaufmann, T., S.M. Schulz, C. Grunzinger, and A. Kübler. 2011. Flashing characters with famous faces improves ERP-based brain-computer interface performance. Journal of Neural Engineering 8(5): 056016. doi:10.1088/1741-2560/8/5/056016S1741-2560(11)91629-2.

    Article  Google Scholar 

  • Kaufmann, T., S.M. Schulz, A. Koblitz, G. Renner, C. Wessig, and A. Kübler. 2012. Face stimuli effectively prevent brain-computer interface inefficiency in patients with neurodegenerative disease. Clinical Neurophysiology. doi:S1388-2457(12)00735-3.

    Google Scholar 

  • Kaufmann, T., E.M. Holz, and A. Kübler. 2013. The importance of user-centred design in BCI development: A case study with a locked-in patient. Submission to 4th TOBI (Tools for Brain-Computer Interaction) workshop, Sion, Switzerland, 23–25 Jan 2013.

    Google Scholar 

  • Keith, M.W., and H. Hoyen. 2002. Indications and future directions for upper limb neuroprostheses in tetraplegic patients: A review. Hand Clinics 18(3): 519–528; viii.

    Article  Google Scholar 

  • Kern, H., U. Carraro, N. Adami, C. Hofer, S. Loefler, M. Vogelauer, W. Mayr, R. Rupp, and S. Zampieri. 2010. One year of home-based daily FES in complete lower motor neuron paraplegia: Recovery of tetanic contractility drives the structural improvements of denervated muscle. Neurological Research 32(1): 5–12. doi:10.1179/174313209X385644.

    Article  Google Scholar 

  • Kilgore, K.L., M. Scherer, R. Bobblitt, J. Dettloff, D.M. Dombrowski, N. Godbold, J.W. Jatich, R. Morris, J.S. Penko, E.S. Schremp, and L.A. Cash. 2001. Neuroprosthesis consumers’ forum: Consumer priorities for research directions. Journal of Rehabilitation Research and Development 38(6): 655–660.

    Google Scholar 

  • Kilgore, K.L., P.H. Peckham, M.W. Keith, F.W. Montague, R.L. Hart, M.M. Gazdik, A.M. Bryden, S.A. Snyder, and T.G. Stage. 2003. Durability of implanted electrodes and leads in an upper-limb neuroprosthesis. Journal of Rehabilitation Research and Development 40(6): 457–468.

    Article  Google Scholar 

  • Kilgore, K.L., H.A. Hoyen, A.M. Bryden, R.L. Hart, M.W. Keith, and P.H. Peckham. 2008. An implanted upper-extremity neuroprosthesis using myoelectric control. Journal of Hand Surgery. American Volume 33(4): 539–550. doi:S0363-5023(08)00011-7.

    Article  Google Scholar 

  • Kleih, S.C., F. Nijboer, S. Halder, and A. Kübler. 2010. Motivation modulates the P300 amplitude during brain-computer interface use. Clinical Neurophysiology 121(7): 1023–1031. doi:10.1016/j.clinph.2010.01.034S1388-2457(10)00077-5.

    Article  Google Scholar 

  • Kreilinger, A., V. Kaiser, C. Breitwieser, J. Williamson, C. Neuper, and G.R. Müller-Putz. 2011. Switching between manual control and brain-computer interface using long term and short term quality measures. Frontiers in Neuroscience 5: 147. doi:10.3389/fnins.2011.00147.

    Google Scholar 

  • Lauer, R.T., P.H. Peckham, K.L. Kilgore, and W.J. Heetderks. 2000. Applications of cortical signals to neuroprosthetic control: A critical review. IEEE Transactions on Rehabilitation Engineering: A Publication of the IEEE Engineering in Medicine and Biology Society 8(2): 205–208.

    Article  Google Scholar 

  • Leeb, R., M. Gubler, M. Tavella, H. Miller, and J.d.R. Millán. 2010. On the road to a neuroprosthetic hand: A novel hand grasp orthosis based on functional electrical stimulation. In Conference proceedings: Annual international conference of the IEEE engineering in medicine and biology society IEEE engineering in medicine and biology society conference 2010, 146–149. doi:10.1109/IEMBS.2010.5627412.

  • Leeb, R., H. Sagha, R. Chavarriaga, and J.d.R. Millán. 2011. A hybrid brain-computer interface based on the fusion of electroencephalographic and electromyographic activities. Journal of Neural Engineering 8(2): 025011. doi:10.1088/1741-2560/8/2/025011.

  • Leeb, R., S. Perdikis, L. Tonin, A. Biasiucci, M. Tavella, A. Molina, A. Al-Khodairy, T. Carlson, and J.d.R. Millán. 2013. Transferring brain-computer interface skills: From simple BCI training to successful application control. Artificial Intelligence in Medicine 59: 121–132.

    Google Scholar 

  • Loeb, G.E., and R. Davoodi. 2005. The functional reanimation of paralyzed limbs. IEEE Engineering in Medicine and Biology Magazine 24(5): 45–51.

    Article  Google Scholar 

  • Logroscino, G., B.J. Traynor, O. Hardiman, A. Chio, D. Mitchell, R.J. Swingler, A. Millul, E. Benn, and E. Beghi. 2010. Incidence of amyotrophic lateral sclerosis in Europe. Journal of Neurology, Neurosurgery and Psychiatry 81(4): 385–390. doi:10.1136/jnnp.2009.183525.

    Article  Google Scholar 

  • Millán, J.d.R., F. Renkens, J. Mouriño, and W. Gerstner. 2004. Noninvasive brain-actuated control of a mobile robot by human EEG. IEEE Transactions on Biomedical Engineering 51(6): 1026–1033.

    Google Scholar 

  • Millán, J.d.R., F. Galán, D. Vanhooydonck, E. Lew, J. Philips and M. Nuttin. 2009. Asynchronous non-invasive brain-actuated control of an intelligent wheelchair. In Proceedings of the 31st annual international conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis.

    Google Scholar 

  • Moss, C.W., K.L. Kilgore, and P.H. Peckham. 2011. A novel command signal for motor neuroprosthetic control. Neurorehabilitation and Neural Repair. doi:1545968311410067.

    Google Scholar 

  • Mugler, E.M., C.A. Ruf, S. Halder, M. Bensch, and A. Kübler. 2010. Design and implementation of a P300-based brain-computer interface for controlling an internet browser. IEEE Transactions on Neural Systems and Rehabilitation Engineering 18(6): 599–609. doi:10.1109/TNSRE.2010.2068059.

    Article  Google Scholar 

  • Mulcahey, M.J., B.T. Smith, and R.R. Betz. 1999. Evaluation of the lower motor neuron integrity of upper extremity muscles in high level spinal cord injury. Spinal Cord 37(8): 585–591.

    Article  Google Scholar 

  • Müller-Putz, G.R., R. Scherer, G. Pfurtscheller, and R. Rupp. 2005. EEG-based neuroprosthesis control: A step towards clinical practice. Neuroscience Letters 382(1–2): 169–174.

    Article  Google Scholar 

  • Müller-Putz, G.R., R. Scherer, C. Neuper, and G. Pfurtscheller. 2006. Steady-state somatosensory evoked potentials: Suitable brain signals for brain-computer interfaces? IEEE Transactions on Neural Systems and Rehabilitation Engineering 14(1): 30–37. doi:10.1109/TNSRE.2005.863842.

    Article  Google Scholar 

  • Müller-Putz, G.R., V. Kaiser, T. Solis-Escalante, and G. Pfurtscheller. 2010. Fast set-up asynchronous brain-switch based on detection of foot motor imagery in 1-channel EEG. Medical and Biological Engineering and Computing 48(3): 229–233. doi:10.1007/s11517-009-0572-7.

    Article  Google Scholar 

  • Müller-Putz, G.R., C. Breitwieser, F. Cincotti, R. Leeb, M. Schreuder, F. Leotta, M. Tavella, L. Bianchi, A. Kreilinger, A. Ramsay, M. Rohm, M. Sagebaum, L. Tonin, C. Neuper, and J.d.R. Millán. 2011. Tools for brain-computer interaction: A general concept for a hybrid BCI. Frontiers in Neuroinformatics 5: 30. doi:10.3389/fninf.2011.00030.

  • Munssinger, J.I., S. Halder, S.C. Kleih, A. Furdea, V. Raco, A. Hosle, and A. Kübler. 2010. Brain painting: First evaluation of a new brain-computer interface application with ALS-patients and healthy volunteers. Frontiers in Neuroscience 4: 182. doi:10.3389/fnins.2010.00182.

    Article  Google Scholar 

  • Murguialday, A.R., J. Hill, M. Bensch, S. Martens, S. Halder, F. Nijboer, B. Schoelkopf, N. Birbaumer, and A. Gharabaghi. 2011. Transition from the locked in to the completely locked-in state: A physiological analysis. Clinical Neurophysiology 122(5): 925–933. doi:10.1016/j.clinph.2010.08.019 S1388-2457(10)00661-9.

    Article  Google Scholar 

  • Neuper, C., R. Scherer, M. Reiner, and G. Pfurtscheller. 2005. Imagery of motor actions: Differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG. Brain Research. Cognitive Brain Research 25(3): 668–677. doi:10.1016/j.cogbrainres.2005.08.014.

    Article  Google Scholar 

  • Nijboer, F., E.W. Sellers, J. Mellinger, M.A. Jordan, T. Matuz, A. Furdea, S. Halder, U. Mochty, D.J. Krusienski, T.M. Vaughan, J.R. Wolpaw, N. Birbaumer, and A. Kübler. 2008. A P300-based brain-computer interface for people with amyotrophic lateral sclerosis. Clinical Neurophysiology 119(8): 1909–1916. Available online: https://www.nscisc.uab.edu/reports.aspx. Last access 29th April 2014.

  • NSCISC. 2011. The 2011 annual statistical report for the model spinal cord injury care system. National SCI Statistical Center. Available online: https://www.nscisc.uab.edu/reports.aspx. Last access 29th April 2014.

  • Ofner, P., and G.R. Müller-Putz. 2012. Decoding of velocities and positions of 3D arm movement from EEG. In Conference proceedings: Annual international conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society conference 2012, 6406–6409. doi:10.1109/EMBC.2012.6347460.

  • Ortner, R., B.Z. Allison, G. Korisek, H. Gaggl, and G. Pfurtscheller. 2011. An SSVEP BCI to control a hand orthosis for persons with tetraplegia. IEEE Transactions on Neural Systems and Rehabilitation Engineering 19(1): 1–5. doi:10.1109/TNSRE.2010.2076364.

    Article  Google Scholar 

  • Ouzký, M. 2002. Towards concerted efforts for treating and curing spinal cord injury. Report of the Social, Health and Family Affairs Committee of the Council of Europe, Doc. 9401. Available under http://assembly.coe.int/ASP/Doc/XrefViewHTML.asp?FileID=9680&Language=en. Last access 29 Apr 2014.

  • Peckham, P.H., M.W. Keith, K.L. Kilgore, J.H. Grill, K.S. Wuolle, G.B. Thrope, P. Gorman, J. Hobby, M.J. Mulcahey, S. Carroll, V.R. Hentz, and A. Wiegner. 2001. Efficacy of an implanted neuroprosthesis for restoring hand grasp in tetraplegia: a multicenter study. Archives of Physical Medicine and Rehabilitation 82(10): 1380–1388. doi:S0003-9993(01)45286-5.

    Article  Google Scholar 

  • Pfurtscheller, G., and F.H. Lopes da Silva. 1999. Event-related EEG/MEG synchronization and desynchronization: Basic principles. Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology 110(11): 1842–1857.

    Article  Google Scholar 

  • Pfurtscheller, G., G.R. Müller, J. Pfurtscheller, H.J. Gerner, and R. Rupp. 2003a. ‘Thought’ – Control of functional electrical stimulation to restore hand grasp in a patient with tetraplegia. Neuroscience Letters 351(1): 33–36. doi:S0304394003009479.

    Article  Google Scholar 

  • Pfurtscheller, G., C. Neuper, G.R. Muller, B. Obermaier, G. Krausz, A. Schlogl, R. Scherer, B. Graimann, C. Keinrath, D. Skliris, M. Wortz, G. Supp, and C. Schrank. 2003b. Graz-BCI: State of the art and clinical applications. IEEE Transactions on Neural Systems and Rehabilitation Engineering 11(2): 177–180. doi:10.1109/TNSRE.2003.814454.

    Article  Google Scholar 

  • Pfurtscheller, G., P. Linortner, R. Winkler, G. Korisek, and G.R. Müller-Putz. 2009. Discrimination of motor imagery-induced EEG patterns in patients with complete spinal cord injury. Computational Intelligence and Neuroscience 104180. doi:10.1155/2009/104180.

  • Piccione, F., F. Giorgi, P. Tonin, K. Priftis, S. Giove, S. Silvoni, G. Palmas, and F. Beverina. 2006. P300-based brain computer interface: Reliability and performance in healthy and paralysed participants. Clinical Neurophysiology 117(3): 531. doi:S1388-2457(05)00459-1.

    Article  Google Scholar 

  • Pineda, J.A., D.S. Silverman, A. Vankov, and J. Hestenes. 2003. Learning to control brain rhythms: Making a brain-computer interface possible. IEEE Transactions on Neural Systems and Rehabilitation Engineering 11(2): 181–184. doi:10.1109/TNSRE.2003.814445.

    Article  Google Scholar 

  • Pokorny, C., D.S. Klobassa, G. Pichler, H. Erlbeck, R.G. Real, A. Kübler, D. Lesenfants, D. Habbal, Q. Noirhomme, M. Risetti, D. Mattia, and G.R. Müller-Putz. 2013. The auditory P300-based single-switch brain-computer interface: Paradigm transition from healthy subjects to minimally conscious patients. Artificial Intelligence in Medicine 59(2): 81–90. doi:10.1016/j.artmed.2013.07.003.

    Article  Google Scholar 

  • Popovic, M.R., D.B. Popovic, and T. Keller. 2002. Neuroprostheses for grasping. Neurological Research 24(5): 443–452.

    Article  Google Scholar 

  • Rebsamen, B., C. Guan, H. Zhang, C. Wang, C. Teo, M.H. Ang, and E. Burdet. 2010. A brain controlled wheelchair to navigate in familiar environments. IEEE Transactions on Neural Systems and Rehabilitation Engineering 18(6): 590–598.

    Article  Google Scholar 

  • Riccio, A., F. Leotta, L. Bianchi, F. Aloise, C. Zickler, E.J. Hoogerwerf, A. Kübler, D. Mattia, and F. Cincotti. 2011. Workload measurement in a communication application operated through a P300-based brain-computer interface. Journal of Neural Engineering 8(2): 025028. doi:10.1088/1741-2560/8/2/025028 S1741-2560(11)77552-8.

    Article  Google Scholar 

  • Rocon, E., J.A. Gallego, L. Barrios, A.R. Victoria, J. Ibanez, D. Farina, F. Negro, J.L. Dideriksen, S. Conforto, T. D’Alessio, G. Severini, J.M. Belda-Lois, L.Z. Popovic, G. Grimaldi, M. Manto, and J.L. Pons. 2010. Multimodal BCI-mediated FES suppression of pathological tremor. In Conference proceedings of the IEEE Engineering in Medicine and Biology Society 2010, 3337–3340. doi:10.1109/IEMBS.2010.5627914.

  • Rohm, M., G.R. Müller-Putz, A. von Ascheberg, M. Gubler, M. Tavella, J.d.R. Millán, and R. Rupp. 2011. Modular FES-hybrid orthosis for individualized setup of BCI controlled motor substitution and recovery. International Journal of Bioelectromagnetism 13: 127–128.

    Google Scholar 

  • Rohm, M., M. Schneiders, C. Müller, A. Kreilinger, V. Kaiser, G.R. Müller-Putz, and R. Rupp. 2013. Hybrid brain-computer interfaces and hybrid neuroprostheses for restoration of upper limb functions in individuals with high-level spinal cord injury. Artificial Intelligence in Medicine 59(2): 133–142. doi:10.1016/j.artmed.2013.07.004.

    Article  Google Scholar 

  • Rupp, R., and H.J. Gerner. 2007. Neuroprosthetics of the upper extremity-clinical application in spinal cord injury and challenges for the future. Acta Neurochirurgica Supplement 97(Pt 1): 419–426.

    Google Scholar 

  • Rupp, R., G.R. Müller-Putz, G. Pfurtscheller, H.J. Gerner, and G. Vossius. 2008. Evaluation of control methods for grasp neuroprostheses based on residual movements.; myoelectrical activity and cortical signals. Biomedical Technology (Berlin) 53(Suppl. 1): 2.

    Google Scholar 

  • Rupp, R., A. Kreilinger, M. Rohm, V. Kaiser, and G.R. Müller-Putz. 2012. Development of a non-invasive.; multifunctional grasp neuroprosthesis and its evaluation in an individual with a high spinal cord injury. In Conference proceedings: Annual international conference of the IEEE Engineering in Medicine and Biology Society IEEE engineering in Medicine and Biology Society conference 2012, 1835–1838. doi:10.1109/EMBC.2012.6346308.

  • Scherer, M.J. 2002. The change in emphasis from people to person: Introduction to the special issue on assistive technology. Disability and Rehabilitation 24(1–3): 1–4.

    Article  Google Scholar 

  • Schill, O., R. Wiegand, B. Schmitz, R. Matthies, U. Eck, C. Pylatiuk, M. Reischl, S. Schulz, and R. Rupp. 2011. OrthoJacket: An active FES-hybrid orthosis for the paralysed upper extremity. Biomedical Technology (Berlin) 56(1): 35–44. doi:10.1515/BMT.2010.056.

    Article  Google Scholar 

  • Schöner, G., M. Dose, and C. Engels. 1995. Dynamics of behavior: Theory and applications for autonomous robot architectures. Robotics and Autonomous Systems 16: 213–245.

    Article  Google Scholar 

  • Schreuder, M., T. Rost, and M. Tangermann. 2011. Listen, you are writing! speeding up online spelling with a dynamic auditory BCI. Frontiers in Neuroscience 5: 112. doi:10.3389/fnins.2011.00112.

    Article  Google Scholar 

  • Sellers, E.W., and E. Donchin. 2006. A P300-based brain-computer interface: Initial tests by ALS patients. Clinical Neurophysiology 117(3): 538–548. doi:S1388-2457(05)00460-8.

    Article  Google Scholar 

  • Shih, J.J., D.J. Krusienski, and J.R. Wolpaw. 2012. Brain-computer interfaces in medicine. Mayo Clinic Proceedings 87(3): 268–279. doi:10.1016/j.mayocp.2011.12.008.

    Article  Google Scholar 

  • Silvoni, S., C. Volpato, M. Cavinato, M. Marchetti, K. Priftis, A. Merico, P. Tonin, K. Koutsikos, F. Beverina, and F. Piccione. 2009. P300-based brain-computer interface communication: Evaluation and follow-up in amyotrophic lateral sclerosis. Frontiers in Neuroscience 3: 60. doi:10.3389/neuro.20.001.2009.

    Google Scholar 

  • Smith, B., P.H. Peckham, M.W. Keith, and D.D. Roscoe. 1987. An externally powered, multichannel, implantable stimulator for versatile control of paralyzed muscle. IEEE Transactions on Biomedical Engineering 34(7): 499–508.

    Article  Google Scholar 

  • Snoek, G.J., H.J. Hermens, D. Maxwell, and F. Biering-Sorensen. 2004. Survey of the needs of patients with spinal cord injury: Impact and priority for improvement in hand function in tetraplegics. Spinal Cord 42(9): 526–532. doi:10.1038/sj.sc.31016383101638.

    Article  Google Scholar 

  • Sutton, S., M. Braren, J. Zubin, and E.R. John. 1965. Evoked-potential correlates of stimulus uncertainty. Science 150(3700): 1187–1188.

    Article  Google Scholar 

  • Tavella, M., R. Leeb, R. Rupp, and Millán, J.d.R. (2010) Towards natural non-invasive hand neuroprostheses for daily living. In Conference proceedings of the IEEE Engineering in Medicine and Biology Society 2010, 126–129. doi:10.1109/IEMBS.2010.5627178.

  • Tonin, L., R. Leeb, M. Tavella, S. Perdikis, and J.d.R. Millán. 2010. The role of shared-control in BCI-based telepresence. In Proceedings of the 2010 IEEE international conference on systems, man and cybernetics, Istanbul.

    Google Scholar 

  • Tonin, L., T. Carlson, R. Leeb, and J.d.R. Millán. 2011. Brain-controlled telepresence robot by motor-disabled people. In Proceedings of the annual international conference of the IEEE Engineering in Medicine and Biology Society EMBC 2011, Shanghai.

    Google Scholar 

  • Truelsen, T., E. Prescott, M. Gronbaek, P. Schnohr, and G. Boysen. 1997. Trends in stroke incidence. The Copenhagen City Heart Study. Stroke 28(10): 1903–1907.

    Article  Google Scholar 

  • van den Berg, M.E., J.M. Castellote, I. Mahillo-Fernandez, and J. de Pedro-Cuesta. 2010. Incidence of spinal cord injury worldwide: A systematic review. Neuroepidemiology 34(3), discussion 192. doi:000279335.

    Google Scholar 

  • van den Honert, C., and J.T. Mortimer. 1979. The response of the myelinated nerve fiber to short duration biphasic stimulating currents. Annals of Biomedical Engineering 7(2): 117–125.

    Article  Google Scholar 

  • Vanacker, G., J.d.R. Millán, E. Lew, P.W. Ferrez, F. Galán, J. Philips, H. Van Brussel, and M. Nuttin. 2007. Context-based filtering for assisted brain-actuated wheelchair driving. Computational Intelligence and Neuroscience 2007: ID 25130.

    Google Scholar 

  • Vanhooydonck, D., E. Demeester, M. Nuttin, and H. Van Brussel. 2003. Shared control for intelligent wheelchairs: An implicit estimation of the user intention. In Proceedings of the 1st international workshop advances in service robot, Tallinn.

    Google Scholar 

  • Veldink, J.H., J.H. Wokke, G. van der Wal, J.M. Vianney de Jong, and L.H. van den Berg. 2002. Euthanasia and physician-assisted suicide among patients with amyotrophic lateral sclerosis in the Netherlands. New England Journal of Medicine 346(21): 1638–1644. doi:10.1056/NEJMsa012739346/21/1638.

    Article  Google Scholar 

  • Warlow, C., J. van Gijn, M. Dennis, J. Wardlaw, J. Bamford, P. Sandercock, G. Rinkel, P. Langhorne, C. Sudlow, and P. Rothwell. 2008. Stroke: Practical management, 3rd ed. Oxford: Blackwell Publishing.

    Book  Google Scholar 

  • Wheeler, C.A., and P.H. Peckham. 2009. Wireless wearable controller for upper-limb neuroprosthesis. Journal of Rehabilitation Research and Development 46(2): 243–256.

    Article  Google Scholar 

  • Wolpaw, J.R., N. Birbaumer, D.J. McFarland, G. Pfurtscheller, and T.M. Vaughan. 2002. Brain-computer interfaces for communication and control. Clinical Neurophysiology 113(6): 767–791. doi:S1388245702000573.

    Article  Google Scholar 

  • Zickler, C., V.D. Donna, V. Kaiser, A. Al-Khodairy, S. Kleih, A. Kübler, M. Malavasi, D. Mattia, S. Mongardi, C. Neuper, M. Rohm, and R. Rupp. 2009. BCI-applications for people with disabilities: Defining user needs and user requirements. In Assistive technology from adapted equipment to inclusive environments: AAATE, 185–189. Amsterdam: IOS Press.

    Google Scholar 

  • Zickler, C., A. Riccio, F. Leotta, S. Hillian-Tress, S. Halder, E. Holz, P. Staiger-Salzer, E.J. Hoogerwerf, L. Desideri, D. Mattia, and A. Kübler. 2011. A brain-computer interface as input channel for a standard assistive technology software. Clinical EEG and Neuroscience 42(4): 236–244.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rüdiger Rupp .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Rupp, R., Kleih, S.C., Leeb, R., del R. Millan, J., Kübler, A., Müller-Putz, G.R. (2014). Brain–Computer Interfaces and Assistive Technology. In: Grübler, G., Hildt, E. (eds) Brain-Computer-Interfaces in their ethical, social and cultural contexts. The International Library of Ethics, Law and Technology, vol 12. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8996-7_2

Download citation

Publish with us

Policies and ethics