Title :
Composite Pattern Query Expression over Medical Data Streams
Author :
Li, Feifei ; Li, Hongyan ; Qu, Qiang
Author_Institution :
Key Lab. of Machine Perception, Peking Univ., Beijing, China
Abstract :
ICU is a typical environment where data stream has been applied to real-life scenarios. Medical data streams share the characteristic of real-time, complex semantics as well as meaningful patterns. Since traditional query methods or pattern process are inherently unable to satisfy real time analysis on various medical data streams, we introduce a novel concept of composite pattern, generalize it to the SQL-like query expression, and propose a method to support ad hoc queries with complex semantic patterns. Our experiments show it is feasible and effective on medical data streams.
Keywords :
SQL; medical information systems; query processing; ICU; SQL-like query expression; complex semantic patterns; composite pattern query expression; intensive care unit; medical data streams; real-time semantics; Biomedical engineering; Biomedical monitoring; Computer science; Condition monitoring; Data engineering; Electrocardiography; Patient monitoring; Pattern analysis; Pattern matching; Project management;
Conference_Titel :
Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4132-7
Electronic_ISBN :
978-1-4244-4134-1
DOI :
10.1109/BMEI.2009.5302070
