DocumentCode
3066948
Title
An energy-efficient communication method based on the relationships between biological signals for ubiquitous health monitoring
Author
Kwon, Hyok Chon ; Na, Doosu ; Ko, Byung Geun ; Lee, Songjun
Author_Institution
Electrical Engineering Department, Hanyang University, Ansan, South Korea
fYear
2008
fDate
20-25 Aug. 2008
Firstpage
1541
Lastpage
1544
Abstract
Wireless sensor networks have been studied in the area of intelligent transportation systems, disaster perception, environment monitoring, ubiquitous healthcare, home network, and so on. For the ubiquitous healthcare, the previous systems collect the sensed health related data at portable devices without regard to correlations of various biological signals to determine the health conditions. It is not the energy-efficient method to gather a lot of information into a specific node to decide the health condition. Since the biological signals are related with each other to estimate certain body condition, it is necessary to be collected selectively by their relationship for energy efficiency of the networked nodes. One of researches about low power consumption is the reduction of the amount of packet transmission. In this paper, a health monitoring system, which allows the transmission of the reduced number of packets by means of setting the routing path considered the relations of biological signals, is proposed.
Keywords
Energy consumption; Energy efficiency; Home automation; Intelligent networks; Intelligent sensors; Intelligent transportation systems; Medical services; Monitoring; Routing; Wireless sensor networks; Computer Communication Networks; Humans; Medical Records Systems, Computerized; Monitoring, Ambulatory; Physiological Processes; Signal Processing, Computer-Assisted; Telemedicine;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location
Vancouver, BC
ISSN
1557-170X
Print_ISBN
978-1-4244-1814-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2008.4649463
Filename
4649463
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