An intelligent robotic hospital bed for safe transportation of critical neurosurgery patients along crowded hospital corridors

Wang, C; Savkin, AV; Clout, R; Nguyen, HT

An intelligent robotic hospital bed for safe transportation of critical neurosurgery patients along crowded hospital corridors

Wang, C Savkin, AV Clout, R Nguyen, HT

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2015, 23 (5), pp. 744 - 754
Issue Date:: 2015-09-01

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Field	Value	Language
dc.contributor.author	Wang, C	en_US
dc.contributor.author	Savkin, AV	en_US
dc.contributor.author	Clout, R	en_US
dc.contributor.author	Nguyen, HT https://orcid.org/0000-0003-3373-8178	en_US
dc.date.issued	2015-09-01	en_US
dc.identifier.citation	IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2015, 23 (5), pp. 744 - 754	en_US
dc.identifier.issn	1534-4320	en_US
dc.identifier.uri	http://hdl.handle.net/10453/43244
dc.description.abstract	© 2014 IEEE. We present a novel design of an intelligent robotic hospital bed, named Flexbed, with autonomous navigation ability. The robotic bed is developed for fast and safe transportation of critical neurosurgery patients without changing beds. Flexbed is more efficient and safe during the transportation process comparing to the conventional hospital beds. Flexbed is able to avoid en-route obstacles with an efficient easy-to-implement collision avoidance strategy when an obstacle is nearby and to move towards its destination at maximum speed when there is no threat of collision. We present extensive simulation results of navigation of Flexbed in the crowded hospital corridor environments with moving obstacles. Moreover, results of experiments with Flexbed in the real world scenarios are also presented and discussed.	en_US
dc.relation.ispartof	IEEE Transactions on Neural Systems and Rehabilitation Engineering	en_US
dc.relation.isbasedon	10.1109/TNSRE.2014.2347377	en_US
dc.subject.classification	Biomedical Engineering	en_US
dc.subject.mesh	Transportation of Patients	en_US
dc.subject.mesh	Critical Care	en_US
dc.subject.mesh	Equipment Design	en_US
dc.subject.mesh	Equipment Failure Analysis	en_US
dc.subject.mesh	Equipment and Supplies, Hospital	en_US
dc.subject.mesh	Beds	en_US
dc.subject.mesh	Neurosurgery	en_US
dc.subject.mesh	Robotics	en_US
dc.subject.mesh	Moving and Lifting Patients	en_US
dc.subject.mesh	Machine Learning	en_US
dc.title	An intelligent robotic hospital bed for safe transportation of critical neurosurgery patients along crowded hospital corridors	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	23	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0903 Biomedical Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.issue	5	en_US
pubs.publication-status	Published	en_US
pubs.volume	23	en_US

Abstract:

© 2014 IEEE. We present a novel design of an intelligent robotic hospital bed, named Flexbed, with autonomous navigation ability. The robotic bed is developed for fast and safe transportation of critical neurosurgery patients without changing beds. Flexbed is more efficient and safe during the transportation process comparing to the conventional hospital beds. Flexbed is able to avoid en-route obstacles with an efficient easy-to-implement collision avoidance strategy when an obstacle is nearby and to move towards its destination at maximum speed when there is no threat of collision. We present extensive simulation results of navigation of Flexbed in the crowded hospital corridor environments with moving obstacles. Moreover, results of experiments with Flexbed in the real world scenarios are also presented and discussed.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/43244