Hybrid network architecture for interactive multi-user surgical simulator with scalable deformable models.
Identifieur interne : 001297 ( PubMed/Curation ); précédent : 001296; suivant : 001298Hybrid network architecture for interactive multi-user surgical simulator with scalable deformable models.
Auteurs : Ganesh Sankaranarayanan [États-Unis] ; Dhanannjay Deo ; Suvranu DeSource :
- Studies in health technology and informatics [ 0926-9630 ] ; 2009.
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- MESH :
Abstract
In this paper we present for the first time, the results from a global-scale interactive surgical collaboration experiment using hybrid network architecture with scalable deformable model capable of simulating non-liner tissue behavior at haptic rates. The results show that two users were able to collaborate interactively at haptic rate for a time-varying one-way delay of 183 ms between the users.
PubMed: 19377171
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pubmed:19377171Le document en format XML
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<front><div type="abstract" xml:lang="en">In this paper we present for the first time, the results from a global-scale interactive surgical collaboration experiment using hybrid network architecture with scalable deformable model capable of simulating non-liner tissue behavior at haptic rates. The results show that two users were able to collaborate interactively at haptic rate for a time-varying one-way delay of 183 ms between the users.</div>
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<Abstract><AbstractText>In this paper we present for the first time, the results from a global-scale interactive surgical collaboration experiment using hybrid network architecture with scalable deformable model capable of simulating non-liner tissue behavior at haptic rates. The results show that two users were able to collaborate interactively at haptic rate for a time-varying one-way delay of 183 ms between the users.</AbstractText>
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