SURGNET: An Integrated Surgical Data Transmission System for Telesurgery
Identifieur interne : 004076 ( Main/Curation ); précédent : 004075; suivant : 004077SURGNET: An Integrated Surgical Data Transmission System for Telesurgery
Auteurs : Sriram Natarajan [États-Unis] ; Aura Ganz [États-Unis]Source :
- International Journal of Telemedicine and Applications [ 1687-6415 ] ; 2009.
Abstract
Remote surgery information requires quick and reliable transmission between the surgeon and the patient site. However, the networks that interconnect the surgeon and patient sites are usually time varying and lossy which can cause packet loss and delay jitter. In this paper we propose SURGNET, a telesurgery system for which we developed the architecture, algorithms and implemented it on a testbed. The algorithms include adaptive packet prediction and buffer time adjustment techniques which reduce the negative effects caused by the lossy and time varying networks. To evaluate the proposed SURGNET system, at the therapist site, we implemented a therapist panel which controls the force feedback device movements and provides image analysis functionality. At the patient site we controlled a virtual reality applet built in Matlab. The varying network conditions were emulated using NISTNet emulator. Our results show that even for severe packet loss and variable delay jitter, the proposed integrated synchronization techniques significantly improve SURGNET performance.
Url:
DOI: 10.1155/2009/435849
PubMed: 19503803
PubMed Central: 2688654
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PMC:2688654Le document en format XML
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<front><div type="abstract" xml:lang="en"><p>Remote surgery information requires quick and reliable transmission between the surgeon and the patient site. However, the networks that interconnect the surgeon and patient sites are usually time varying and lossy which can cause packet loss and delay jitter. In this paper we propose SURGNET, a telesurgery system for which we developed the architecture, algorithms and implemented it on a testbed. The algorithms include adaptive packet prediction and buffer time adjustment techniques which reduce the negative effects caused by the lossy and time varying
networks. To evaluate the proposed SURGNET system, at the therapist site, we implemented a
therapist panel which controls the force feedback device movements and provides image analysis
functionality. At the patient site we controlled a virtual reality applet built in Matlab. The varying
network conditions were emulated using NISTNet emulator. Our results show that even for severe
packet loss and variable delay jitter, the proposed integrated synchronization techniques
significantly improve SURGNET performance.</p>
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