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Secure transmission of pre-clinical ultrasound video data at the scene of a mass casualty incident
Kai Kamphenkel
author
Markus Blank
author
Jens Bauer
author
Georg Carle
author
2007
Information Systems for Crisis Response and Management, ISCRAM
Delft
English
The use of portable ultrasound devices enables a better and immediate diagnostics at the scene of a mass casualty incident. The detection of free fluid in abdomen and thorax is an important indicator for the further treatment. The gained information affects the triage of casualties, the pre-clinical medical attendance and the patient management. The presented article describes an innovative approach to transmit sonographic video streams over wireless networks to a remote hospital, where the medical data is used for diagnostics. For the secure transmission of data a new network unit is designed, which gathers information with regard to the network status and the character of transported data. This "Intelligent Network" is located in the transport layer of the OSI reference model and enables a dynamic interconnection between network and application, provides an interface for functional transparency and the disclosure of parameters and establishes the basis for an universal security system.
Intelligent networks
Network management
Network security
Ultrasonic applications
Video streaming
Further treatments
Innovative approaches
Mass casualty incidents
Portable ultrasound
Pre-clinical
Reference modeling
Sctp
Secure transmission
Network layers
exported from refbase (http://idl.iscram.org/show.php?record=644), last updated on Sun, 09 Aug 2015 11:20:59 +0200
text
http://idl.iscram.org/files/kamphenkel/2007/644_Kamphenkel_etal2007.pdf
KaiKamphenkel_etal2007
Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers
ISCRAM 2007
B. Van de Walle
P
Burghardt
editor
4th International ISCRAM Conference on Information Systems for Crisis Response and Management
2007
Information Systems for Crisis Response and Management, ISCRAM
Delft
conference publication
377
383
9789054874171; 9789090218717
2411-3387
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