-
Eklund, Anders1981-
(författare)
-
MICCAI 2009, 12th International Conference, London, UK, September 20-24, 2009
Using Real-Time fMRI to Control a Dynamical System by Brain Activity Classification [Elektronisk resurs]
Förlag, utgivningsår, omfång ...
-
Springer Berlin/Heidelberg2009
Nummerbeteckningar
-
LIBRIS-ID:22404827
-
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-54034uri
-
urn:nbn:se:liu:diva-54034urn
-
10.1007/978-3-642-04268-3_123doi
Kompletterande språkuppgifter
Ingår i deldatabas
Serie
-
Lecture Notes in Computer Science0302-9743
Anmärkningar
-
<p>The original publication is available at www.springerlink.com: Anders Eklund, Henrik Ohlsson, Mats Andersson, Joakim Rydell, Anders Ynnerman and Hans Knutsson, Using Real-Time fMRI to Control a Dynamical System by Brain Activity Classification, 2009, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009, Lecture Notes in Computer Science, (5761/2009), 1000-1008. http://dx.doi.org/10.1007/978-3-642-04268-3_123 Copyright: Springer Science Business Media http://www.springerlink.com/</p>
-
CADICS
-
gratis
-
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.
Ämnesord och genrebeteckningar
Biuppslag (personer, institutioner, konferenser, titlar ...)
-
Ohlsson, Henrik1981-
(författare)
-
Andersson, Mats
(författare)
-
Rydell, Joakim
(författare)
-
Ynnerman, Anders
(författare)
-
Knutsson, Hans
(författare)
-
Linköpings universitetInstitutionen för medicinsk teknik
(utgivare)
-
Linköpings universitetTekniska högskolan
(utgivare)
-
Linköpings universitetCentrum för medicinsk bildvetenskap och visualisering, CMIV
(utgivare)
-
Linköpings universitetInstitutionen för systemteknik
(utgivare)
-
Linköpings universitetInstitutionen för teknik och naturvetenskap
(utgivare)
Sammanhörande titlar
-
Del av/supplement till:channel record
-
Ingår i:VärdpublikationMedical Image Computing and Computer-Assisted Intervention – MICCAI 20091000-1008
-
Värdpublikation i annat formatMedical Image Computing and Computer-Assisted Intervention – MICCAI 20099783642042676
-
Värdpublikation i annat formatMedical Image Computing and Computer-Assisted Intervention – MICCAI 20099783642042683
Seriebiuppslag
-
Lecture Notes in Computer Science0302-9743
Internetlänk
Länkade data-URI:er (test)
- 352102 (Eklund, Anders 1981- aut)
- 339388 (Ohlsson, Henrik 1981- aut)
- 276942 (Linköpings universitet Institutionen för medicinsk teknik pbl)
- 214173 (Linköpings universitet Tekniska högskolan pbl)
- 257709 (Linköpings universitet Institutionen för systemteknik pbl)
- 216208 (Linköpings universitet Institutionen för teknik och naturvetenskap pbl)
Inställningar
Hjälp
Uppgift om bibliotek saknas i LIBRIS
Kontakta ditt bibliotek, eller sök utanför LIBRIS. Se högermenyn.