Abstract :
It is always difficult to manipulate the production of huge amount of data which comes from multiple sources and to extract meaningful information to make appropriate decisions. When data comes from various input resources, to get required streams of events form this complex input network, the one of the strong functionality of Business Intelligence (BI) the Complex Event Processing (CEP) is the appropriate solution for the abovementionedproblems. Real time processing, pattern matching, stream processing, big data management, sensor data processing and many more are the application areas of CEP. Health domain itself is a multi-dimension domain such as hospital supply chain, OPD management, disease diagnostic, In-patient, out-patient management, and emergency careetc. In this paper, the main focus is to discuss the application areas of Complex Event Processing (CEP) in health domainby using sensor device, such that how CEP manipulate health data setevents coming from sensor devicessuch as blood pressure, heartbeat, fall detection, sugar level, temperature or any other vital signsand how thesesystems respond to these events as quickly as possible. Different existing models and application using CEP are discussed and summarized according to different characteristics.
Keyword :
Business Intelligence (BI); Complex Event Processing (CEP)