Localized virtual patient model for regional anesthesia simulation training system.
Identifieur interne : 001666 ( PubMed/Curation ); précédent : 001665; suivant : 001667Localized virtual patient model for regional anesthesia simulation training system.
Auteurs : John Hu [États-Unis] ; Yi-Je Lim ; Neil Tardella ; Chuyin Chang ; Lisa WarrenSource :
- Studies in health technology and informatics [ 0926-9630 ] ; 2007.
English descriptors
- KwdEn :
- MESH :
- geographic : Massachusetts.
- education : Anesthesiology.
- Anesthesia, Conduction, Computer Simulation, Humans, Nerve Block, Stress, Mechanical.
Abstract
This paper presents the progress made in the development of a localized virtual patient model for regional anesthesia simulation training system by Energid Technologies. In our on-going project, a feasible engineering virtual patient model has been designed to capture the reflexive responses during nerve block stimulation. Our model combines advanced technologies in tissue deformation, motor nerve stimulation model, and haptic feedback rendering.
PubMed: 17377263
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pubmed:17377263Le document en format XML
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<author><name sortKey="Lim, Yi Je" sort="Lim, Yi Je" uniqKey="Lim Y" first="Yi-Je" last="Lim">Yi-Je Lim</name>
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<author><name sortKey="Tardella, Neil" sort="Tardella, Neil" uniqKey="Tardella N" first="Neil" last="Tardella">Neil Tardella</name>
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<author><name sortKey="Chang, Chuyin" sort="Chang, Chuyin" uniqKey="Chang C" first="Chuyin" last="Chang">Chuyin Chang</name>
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<series><title level="j">Studies in health technology and informatics</title>
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<keywords scheme="MESH" xml:lang="en"><term>Anesthesia, Conduction</term>
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<front><div type="abstract" xml:lang="en">This paper presents the progress made in the development of a localized virtual patient model for regional anesthesia simulation training system by Energid Technologies. In our on-going project, a feasible engineering virtual patient model has been designed to capture the reflexive responses during nerve block stimulation. Our model combines advanced technologies in tissue deformation, motor nerve stimulation model, and haptic feedback rendering.</div>
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<Title>Studies in health technology and informatics</Title>
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<Abstract><AbstractText>This paper presents the progress made in the development of a localized virtual patient model for regional anesthesia simulation training system by Energid Technologies. In our on-going project, a feasible engineering virtual patient model has been designed to capture the reflexive responses during nerve block stimulation. Our model combines advanced technologies in tissue deformation, motor nerve stimulation model, and haptic feedback rendering.</AbstractText>
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