From cochlear implants to Brain-Computer Interfaces

• Autorzy: Tadeusiewicz R. , Rotter P.
• Języki publikacji: EN

Abstrakty

EN

In this article two groups of technologies based on connecting a medical device to the human brain are presented. The first group exploits the existing nerves, like the cochlear implant where ear prosthesis is connected to the auditory nerve. Another group is based on a direct connection between an electronic device and the human brain and it is called Brain-Computer Interfaces. The article contains the description of these technologies, points out their current capabilities and limitations and the main barriers to further development. The authors indicate possible directions of future expansion of the discussed technologies.

Słowa kluczowe

EN

ICT implants; cochlear implants; brain-computer interfaces

• Wydawca: Uniwersytet Jagielloński - Collegium Medicum ; Index Copernicus Sp. z o.o.
• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2012
• Tom: Vol. 8, no. 3
• Strony: 267--286
• Opis fizyczny: Bibliogr. 18 poz., rys.

Twórcy

autor

Tadeusiewicz R.

• AGH University of Science and Technology, Mickiewicza 30, 30-059 Kraków, Poland

autor

Rotter P.

• AGH University of Science and Technology, Mickiewicza 30, 30-059 Kraków, Poland

Bibliografia

• [1] Popescu F., Blankertz B., Müller K.R.: Computational Challenges for Noninvasive Brain Computer Interfaces. IEEE Intelligent Systems 2008, 23(3): 78-79.
• [2] Graimann B., Allison B., Pfurtscheller G.: Brain-computer Interfaces: Non-invasive and Invasive Technologies. Springer 2011.
• [3] Skarzynski H., Lorens A., Piotrowska A., Skarzynski P.H.: Hearing preservation in partial deafness treatment. Medical Science Monitor 2010, 16(11): 555-562.
• [4] Dobelle W.H., Mladejovsky M.G.: Phosphenes produced by electrical stimulation of human occipital cortex, and their application to the development of a prosthesis for the blind. The Journal of Physiology 1974, 243: 553-576.
• [5] Dobelle W.H.: Artificial Vision for the Blind by Connecting a Television Camera to the Visual Cortex. ASAIO Journal 2000, 46: 3-9.
• [6] Kotler S.: Vision quest. Wired 2002, 10(9).
• [7] Winters J.: Communicating by Brain Waves. Psychology Today, May 2003.
• [8] Neumann N., Kübler A.: Training locked-in patients: A challenge for the use of brain computer interfaces. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2003, 11(2): 169-172.
• [9] Hochberg L.R et al. Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature 2006, 442: 164–171.
• [10] Bogdan M., Schroder M., Rosenstiel W.: Artificial Neural Net Based Signal Processing for Interaction with Peripheral Nervous System. Proceedings of the 1st International IEEE EMBS Conference on Neural Engineering, 20-22 March 2003, pp. 134-137.
• [11] Drummond K., Shachtman N.: Pentagon Preps Soldier Telepathy Push. Wired 2009, 17(5).
• [12] Reuderink B.: Games and Brain-Computer Interfaces: The State of the Art. University of Twente report 2008, http://doc.utwente.nl/67586/
• [13] Buckler G.: Human-machine mergers promising, but reality yet to live up to hype. CBC News, 25 May 2010. http://www.cbc.ca/news/technology/story/2010/05/10/f-buckler-neuroprosthetics-medical-technology.html
• [14] Coulombe J., Sawan M., Gervais J.F.: A Highly Flexible System for Microstimulation of the Visual Cortex: Design and Implementation. IEEE Transactions on Biomedical Circuits and Systems 2007, 1(4): 258 – 269.
• [15] The AudeoSensor User’s Guide. Ambient Corporation Report, rev. 12.02.2009, http://www.theaudeo.com/AudeoSensor-Manual_12022009.pdf
• [16] Clausen J.: Man, machine and in between. Nature 2009, 457(26).
• [17] Haselager P. et al. A note on ethical aspects of BCI. Neural Networks 2009, 22: 1352.
• [18] Emerging Cognitive Neuroscience and Related Technologies. National Research Council Report 2008.