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  Near infrared spectroscopy for brain-computer interface development

Sitaram, R., Haihong, Z., Uludag, K., Cuntai, G., Hoshi, Y., & Birbaumer, N. (2006). Near infrared spectroscopy for brain-computer interface development. In G. Müller-Putz (Ed.), 3rd International Brain-Computer Interface Workshop and Training Course 2006 (pp. 104-105). Graz, Austria: Verlag der Technischen Universität Graz, Graz.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-99C9-D Version Permalink: http://hdl.handle.net/21.11116/0000-0004-99CC-A
Genre: Conference Paper

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 Creators:
Sitaram, R, Author
Haihong, Z, Author
Uludag, K1, 2, Author              
Cuntai, G, Author
Hoshi, Y, Author
Birbaumer, N, Author
Affiliations:
1Former Department MRZ, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528700              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: A Brain-computer Interface (BCI) can be developed using the optical response of Near Infrared Spectroscopy (NIRS) which measures metabolic brain activation. NIRS can localize brain regions with a spatial resolution in mm and temporal resolution in hundreds of ms. NIRS has the advantages of noninvasiveness, portability and affordability. The authors have developed a multi-channel NIRS-BCI that distinguishes the brain activation during imagination of left hand and right hand movement. This mechanism is being incorporated in a word speller, in an on-going research project, to help severely disabled persons to communicate. Experiments with a volunteer have shown that the HMM (Hidden Markov Model) classifier performers better (average accuracy of 91.29%) than the SVM (Support Vector Machine) classifier (average accuracy of 75.62%). This might be due to considerable variations in the temporal domain in the performance of the tasks, and such variations may be better dealt with by dynamic machines like HMM. NIRS avoids the noise prominent in the EEG, and is less cumbersome to use, as there is no need for applying conducting gel. The most important advantage of the NIRS is its ability to localize brain activity noninvasively. This provides us with an excellent opportunity to use a variety of motor and cognitive tasks, and to detect signals from specific regions of the cortex for the development of powerful and user-friendly BCIs.

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 Dates: 2006-09
 Publication Status: Published in print
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Title: 3rd International Brain-Computer Interface Workshop and Training Course 2006
Place of Event: Graz, Austria
Start-/End Date: 2006-09-21 - 2006-09-24

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Title: 3rd International Brain-Computer Interface Workshop and Training Course 2006
Source Genre: Proceedings
 Creator(s):
Müller-Putz, GR, Editor
Affiliations:
-
Publ. Info: Graz, Austria : Verlag der Technischen Universität Graz, Graz
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 104 - 105 Identifier: ISBN: 3-902465-46-8