Document Detail


An Awareness Approach to Analyze ECG Streaming Data.
MedLine Citation:
PMID:  23340824     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Real-time remote health monitoring systems are experiencing tremendous advancement resulting from improvements in low power, reliable sensors; yet they are still constrained to low-level interpretation. Automatic data analysis continues to be a tedious task due to a lack of efficient, reliable platforms for data analysis. In this paper, we present a system for monitoring patients remotely by emphasizing the strength of Complex Event Processing (CEP) and Situation Awareness. In this approach, the system makes decisions in a declarative way, which helps medical experts to understand the situation in a more realistic manner. The primary objective of this paper is to explicate the different components inside the system. To verify the technical feasibility of each component, the proposed system is implemented and tested using ECG data.
Authors:
Don S; Duckwon Chung; Eunmi Choi; Dugki Min
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Publication Detail:
Type:  Journal Article     Date:  2013-01-23
Journal Detail:
Title:  Journal of medical systems     Volume:  37     ISSN:  0148-5598     ISO Abbreviation:  J Med Syst     Publication Date:  2013 Apr 
Date Detail:
Created Date:  2013-01-23     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7806056     Medline TA:  J Med Syst     Country:  United States    
Other Details:
Languages:  eng     Pagination:  9901     Citation Subset:  IM    
Affiliation:
Department of Computer, Information and Communication Engineering, Konkuk University, Seoul, South Korea, donsasi@konkuk.ac.kr.
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