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Using Real-Time fMRI to Control a Dynamical System by Brain Activity Classification
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
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2010 (English)Report (Other academic)
Abstract [en]

We present a method for controlling a dynamical system using real-time fMRI. The objective for the subject in the MR scanner is to balance an inverted pendulum by activating the left or right hand or resting. The brain activity is classified each second by a neural network and the classification is sent to a pendulum simulator to change the force applied to the pendulum. The state of the inverted pendulum is shown to the subject in a pair of VR goggles. The subject was able to balance the inverted pendulum during several minutes, both with real activity and imagined activity. In each classification 9000 brain voxels were used and the response time for the system to detect a change of activity was on average 2-4 seconds. The developments here have a potential to aid people with communication disabilities, such as locked in people. Another future potential application can be to serve as a tool for stroke and Parkinson patients to be able to train the damaged brain area and get real-time feedback for more efficient training.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2010. , 3 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2944
Keyword [en]
fMRI
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-97552ISRN: LiTH-ISY-R-2944OAI: oai:DiVA.org:liu-97552DiVA: diva2:648399
Available from: 2013-09-16 Created: 2013-09-16 Last updated: 2014-06-17Bibliographically approved

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Ohlsson, Henrik

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Center for Medical Image Science and Visualization (CMIV)Medical InformaticsThe Institute of TechnologyAutomatic Control
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf