NDLI: Enhancing Wireless Patient Monitoring by Integrating Stored and Live Patient Information

Content Provider	IEEE Xplore Digital Library
Author	Varshney, U.
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Inf. Syst., Georgia State Univ., Atlanta, GA (Varshney, U.)
Abstract	Patient monitoring using wireless technologies has been considered for improving the quality of healthcare to an increased number of patients, including those suffering from physical and cognitive disabilities. For such patients, comprehensive and reliable wireless patient monitoring system should be designed that can operate autonomously. In this paper, we propose that comprehensive patient monitoring should involve the use of stored healthcare information and transmission of live vital signs. In simple terms, the use of stored knowledge (such as nominal vital signs and patient's individual thresholds) could compensate for the limited resources of underlying wireless networks, especially under times of significant traffic. This will allow the delivery of patient related information to one of more healthcare professionals in reasonable time as the traffic per monitoring event is reduced. To enhance the quality of patient monitoring, we present reliable wireless architecture and propose that context-awareness should be utilized in the healthcare delivery decision
Starting Page	501
Ending Page	506
File Size	206548
Page Count	6
File Format	PDF
ISBN	0769525171
ISSN	10637125
DOI	10.1109/CBMS.2006.84
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Patient monitoring Medical services Wireless networks Telecommunication traffic Condition monitoring Pulse measurements Humans Biomedical monitoring Computer network reliability Physics computing
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

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