DocumentCode
3593360
Title
Hybrid and Multi-Agent Approaches on Healthcare Sensor Information Fusing
Author
Dai, Zhifeng ; Sun, Baolin ; Gui, Chao
Author_Institution
Sch. of Comput., Hubei Univ. of Econ., Wuhan
Volume
1
fYear
2008
Firstpage
438
Lastpage
441
Abstract
With the emerging practical application and rapid advancement of WSN in EHS, this paper addresses the particularly important problem on healthcare sensor information fusion. On light of the common ground among WSN, MAS and RST, some hybrid and multi-agent approaches are discussed and implementation details of the method are given, and as can be seen, the proposed solution MADHSDN, which results in gaining much insight into the sensor data as well as revealing new interesting information fused with certain trend characteristics and consistent predictions with minimum redundancy, is demonstrated to be more flexible, robust and informative to deal with the real scenario with some noise.
Keywords
health care; multi-agent systems; rough set theory; sensor fusion; wireless sensor networks; EHS; WSN; healthcare sensor information fusing; healthcare sensor information fusion; multiagent approaches; multiagent systems; rough set theory; Computer networks; Economic forecasting; Intelligent sensors; Medical diagnostic imaging; Medical services; Multiagent systems; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Wireless sensor networks; distributed healthcare sensor information fusion; multi-agent system; rough sets; wireless sensor decision network;
fLanguage
English
Publisher
ieee
Conference_Titel
Networked Computing and Advanced Information Management, 2008. NCM '08. Fourth International Conference on
Print_ISBN
978-0-7695-3322-3
Type
conf
DOI
10.1109/NCM.2008.242
Filename
4624047
Link To Document