Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)

A Medical Device Interaction System based on IEEE 11073

Authors
Zhiwei Wen, Jinzhong Cui, Leiting Chen
Corresponding Author
Zhiwei Wen
Available Online March 2018.
DOI
10.2991/acaai-18.2018.51How to use a DOI?
Keywords
Medical devices; interaction; IEEE 11073; communication; data
Abstract

One of the most significant achievements in modern healthcare systems is the release of the IEEE 11073 family of standards, which formalize the compatibility and interoperability of medical devices and external computer systems. However, IEEE 11073 does not define standards and modes of communication between medical devices. This paper designs a medical device interaction system based on IEEE 11073 that enables communication between medical devices. The system includes a smart gateway that serves as the IEEE 11073 manager and middleware of the system to connect one medical device to another. Specifically, the paper extends the IEEE 11073 stack for more efficient interaction between medical devices.

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 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)
Series
Advances in Intelligent Systems Research
Publication Date
March 2018
ISBN
10.2991/acaai-18.2018.51
ISSN
1951-6851
DOI
10.2991/acaai-18.2018.51How 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  - Zhiwei Wen
AU  - Jinzhong Cui
AU  - Leiting Chen
PY  - 2018/03
DA  - 2018/03
TI  - A Medical Device Interaction System based on IEEE 11073
BT  - Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)
PB  - Atlantis Press
SP  - 218
EP  - 222
SN  - 1951-6851
UR  - https://doi.org/10.2991/acaai-18.2018.51
DO  - 10.2991/acaai-18.2018.51
ID  - Wen2018/03
ER  -