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Using Real-Time fMR...
Using Real-Time fMRI to Control a Dynamical System by Brain Activity Classification
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- Eklund, Anders, 1981- (author)
- Linköpings universitet,Medicinsk informatik,Tekniska högskolan,Centrum för medicinsk bildvetenskap och visualisering, CMIV
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- Ohlsson, Henrik, 1981- (author)
- Linköpings universitet,Reglerteknik,Tekniska högskolan
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- Andersson, Mats (author)
- Linköpings universitet,Medicinsk informatik,Tekniska högskolan,Centrum för medicinsk bildvetenskap och visualisering, CMIV
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- Rydell, Joakim (author)
- Linköpings universitet,Medicinsk informatik,Tekniska högskolan,Centrum för medicinsk bildvetenskap och visualisering, CMIV
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- Ynnerman, Anders (author)
- Linköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Visuell informationsteknologi och applikationer,Tekniska högskolan
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- Knutsson, Hans (author)
- Linköpings universitet,Medicinsk informatik,Tekniska högskolan,Centrum för medicinsk bildvetenskap och visualisering, CMIV
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(creator_code:org_t)
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- Berlin, Heidelberg : Springer Berlin/Heidelberg, 2009
- 2009
- English.
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In: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783642042676 - 9783642042683 ; , s. 1000-1008
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Abstract
Subject headings
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- 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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
Keyword
- fMRI
- TECHNOLOGY
- TEKNIKVETENSKAP
Publication and Content Type
- ref (subject category)
- kon (subject category)
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