DocumentCode
1631112
Title
Aggregation scheme implementation for vital signs data over the network
Author
Zubairi, Junaid Ahmed
Author_Institution
Dept. of Comput. & Inf. Sci., SUNY at Fredonia, Fredonia, NY, USA
fYear
2009
Firstpage
129
Lastpage
133
Abstract
In this paper, the aggregation and transmission scheme for vital signs data in MEDTOC (medical data transmission over cellular network) is presented. MEDTOC has been designed for dealing with emergency medical data from disaster sites. Since some of the patients may be in critical condition, it is imperative to keep the physicians aware of the vital signs of multiple patients in transit to the hospital. Simulation studies have shown that aggregate uncompressed data of 4-16 patients can be transmitted reliably using 3G cellular network from a large moving ambulance. We have specified the aggregation headers and optional data reduction in MEDTOC before converting the vital signs data to suitable format for cellular network transmission. In this paper, the aggregation scheme to efficiently transmit the vital signs of 4 patients is outlined. This scheme, being a part of MEDTOC, has been implemented using data transmission between client and server in C language on Linux hosts. The algorithm and C program details are discussed and successful transmission and reception of data are presented. The OPNET simulation results are also presented that show transfer of data using 3G cellular network. Next steps include implementation of complete data transformation cycle from individual vital signs data into aggregate and optionally reduced data embedding the packets in conversational class IP traffic in 3G UMTS cellular network and conducting physical tests of the scheme with loaded cellular network and moving ambulances.
Keywords
3G mobile communication; biomedical communication; data communication; electronic data interchange; medical administrative data processing; patient monitoring; telemedicine; 3G UMTS cellular network; 3G cellular network; C language; OPNET simulation; cellular network transmission format; data reception; data reduction; data transfer; data transformation cycle; linux hosts; medical data aggregation; medical data transmission; 3G mobile communication; Aggregates; Data communication; Hospitals; Land mobile radio cellular systems; Linux; Medical simulation; Network servers; Telecommunication traffic; Traffic control; 3G cellular network; Vital signs; disaster response; emergency medical data;
fLanguage
English
Publisher
ieee
Conference_Titel
High-Capacity Optical Networks and Enabling Technologies (HONET), 2009 6th International Symposium on
Conference_Location
Alexandria
Print_ISBN
978-1-4244-5992-6
Type
conf
DOI
10.1109/HONET.2009.5423084
Filename
5423084
Link To Document