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Enabling Bio-Feedback Using Real-Time fMRI
Department of Electrical Engineering, Linköpings universitet. (Automatic Control)
Department of Medical Engineering, Linköpings universitet. (Medical Informatics)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.ORCID iD: 0000-0002-4405-6888
Department of Electrical Engineering, Linköpings universitet. (Automatic Control)
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2008 (English)In: Proceedings of the 47th IEEE Conference on Decision and Control, Cancun, Mexico: IEEE , 2008, 3336-3341 p.Conference paper, Published paper (Refereed)
Abstract [en]

Despite the enormous complexity of the human mind, fMRI techniques are able to partially observe the state of a brain in action. In this paper we describe an experimental setup for real-time fMRI in a bio-feedback loop. One of the main challenges in the project is to reach a detection speed, accuracy and spatial resolution necessary to attain sufficient bandwidth of communication to close the bio-feedback loop. To this end we have banked on our previous work on real-time filtering for fMRI and system identification, which has been tailored for use in the experiment setup.

Place, publisher, year, edition, pages
Cancun, Mexico: IEEE , 2008. 3336-3341 p.
Series
Proceedings / IEEE Conference on Decision and Control, ISSN 0191-2216 ; 47
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Computerized Image Analysis
Identifiers
URN: urn:nbn:se:uu:diva-87962DOI: 10.1109/CDC.2008.4738759ISBN: 978-1-4244-3123-6 (print)OAI: oai:DiVA.org:uu-87962DiVA: diva2:134000
Available from: 2009-01-16 Created: 2009-01-16 Last updated: 2016-04-22Bibliographically approved

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Brun, Anders

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