A haptic force feedback device for virtual reality-fMRI experiments.
Identifieur interne : 001527 ( PubMed/Corpus ); précédent : 001526; suivant : 001528A haptic force feedback device for virtual reality-fMRI experiments.
Auteurs : Lisa M. Di Diodato ; Richard Mraz ; S Nicole Baker ; Simon J. GrahamSource :
- IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society [ 1534-4320 ] ; 2007.
English descriptors
- KwdEn :
- MESH :
- anatomy & histology : Brain.
- instrumentation : Magnetic Resonance Imaging.
- methods : Magnetic Resonance Imaging.
- physiology : Brain.
- physiopathology : Stroke.
- Brain Mapping, Equipment Design, Feedback, Humans, Reproducibility of Results, Touch, User-Computer Interface.
Abstract
Simulation of real-world tasks using virtual reality (VR) and measurement of associated neural activity by functional magnetic resonance imaging (fMRI) have potential utility in research and clinical stroke applications. However, development of fMRI-compatible sensory feedback technology is required. Presented here is the development of a prototype force feedback device for VR-fMRI. Experiments validated device performance in terms of force output, interaction bandwidth, transmission delay, and fMRI-compatibility. A subsequent VR-fMRI experiment involved six participants touching a virtual object and verified modulation of brain activity with force feedback versus no force feedback. This device may facilitate further experiments to clarify the effect of haptics in VR, and may be adapted for characterizing brain function and behaviour associated with stroke-related hand paresis.
DOI: 10.1109/TNSRE.2007.906962
PubMed: 18198715
Links to Exploration step
pubmed:18198715Le document en format XML
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<author><name sortKey="Mraz, Richard" sort="Mraz, Richard" uniqKey="Mraz R" first="Richard" last="Mraz">Richard Mraz</name>
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<author><name sortKey="Baker, S Nicole" sort="Baker, S Nicole" uniqKey="Baker S" first="S Nicole" last="Baker">S Nicole Baker</name>
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<author><name sortKey="Graham, Simon J" sort="Graham, Simon J" uniqKey="Graham S" first="Simon J" last="Graham">Simon J. Graham</name>
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<term>Humans</term>
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<keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Stroke</term>
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<keywords scheme="MESH" xml:lang="en"><term>Brain Mapping</term>
<term>Equipment Design</term>
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<front><div type="abstract" xml:lang="en">Simulation of real-world tasks using virtual reality (VR) and measurement of associated neural activity by functional magnetic resonance imaging (fMRI) have potential utility in research and clinical stroke applications. However, development of fMRI-compatible sensory feedback technology is required. Presented here is the development of a prototype force feedback device for VR-fMRI. Experiments validated device performance in terms of force output, interaction bandwidth, transmission delay, and fMRI-compatibility. A subsequent VR-fMRI experiment involved six participants touching a virtual object and verified modulation of brain activity with force feedback versus no force feedback. This device may facilitate further experiments to clarify the effect of haptics in VR, and may be adapted for characterizing brain function and behaviour associated with stroke-related hand paresis.</div>
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<Abstract><AbstractText>Simulation of real-world tasks using virtual reality (VR) and measurement of associated neural activity by functional magnetic resonance imaging (fMRI) have potential utility in research and clinical stroke applications. However, development of fMRI-compatible sensory feedback technology is required. Presented here is the development of a prototype force feedback device for VR-fMRI. Experiments validated device performance in terms of force output, interaction bandwidth, transmission delay, and fMRI-compatibility. A subsequent VR-fMRI experiment involved six participants touching a virtual object and verified modulation of brain activity with force feedback versus no force feedback. This device may facilitate further experiments to clarify the effect of haptics in VR, and may be adapted for characterizing brain function and behaviour associated with stroke-related hand paresis.</AbstractText>
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