title: An awareness approach to analyze ECG streaming data.
abstract: 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: Department of Computer, Information and Communication Engineering, Konkuk University, Seoul, South Korea, donsasi@konkuk.ac.kr.
authors: S
authors: S
authors: Don
authors: Duckwon
authors: D
authors: Chung
authors: Eunmi
authors: E
authors: Choi
authors: Dugki
authors: D
authors: Min
mesh_terms: D003658:Decision Making, Computer-Assisted; D004562:Electrocardiography / Q000295:instrumentation / Q000379:methods; D006801:Humans; D058998:Remote Sensing Technology / Q000295:instrumentation*; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation; D017216:Telemedicine