Proceedings of the 2017 2nd International Conference on Biological Sciences and Technology (BST 2017)

A Network Communication Protocols for Robotic-assisted Vascular Intervention Systems

Authors
Quan Zeng, Shou-Jun Zhou, Hao Shen, Cheng Wang
Corresponding Author
Quan Zeng
Available Online February 2018.
DOI
10.2991/bst-17.2018.14How to use a DOI?
Keywords
MIS, Robot, Communication Network protocol, Real-time
Abstract

In recent years, minimally invasive surgery (MIS) has become a very suitable field for robotic systems. Minimally invasive surgery which can be used for diagnosis and surgical treatment is more and more popular in the medical field. We have developed a remote vascular intervention robot system for medical applications which is integrated by several modules. During the remote operation of intervention therapy, we need to transmit CT images, robot instructions, force feedback data to make the surgery smoothly. So, we have developed an open, simple and extensible peer-to-peer communication protocol. Experiments result show that the network communication protocol can meet the requirements of real-time capability in the surgery.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Biological Sciences and Technology (BST 2017)
Series
Advances in Biological Sciences Research
Publication Date
February 2018
ISBN
978-94-6252-472-9
ISSN
2468-5747
DOI
10.2991/bst-17.2018.14How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Quan Zeng
AU  - Shou-Jun Zhou
AU  - Hao Shen
AU  - Cheng Wang
PY  - 2018/02
DA  - 2018/02
TI  - A Network Communication Protocols for Robotic-assisted Vascular Intervention Systems
BT  - Proceedings of the 2017 2nd International Conference on Biological Sciences and Technology (BST 2017)
PB  - Atlantis Press
SP  - 87
EP  - 96
SN  - 2468-5747
UR  - https://doi.org/10.2991/bst-17.2018.14
DO  - 10.2991/bst-17.2018.14
ID  - Zeng2018/02
ER  -