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An Awareness Approach to Analyze ECG Streaming Data

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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.

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Acknowledgement

This research was supported by the MKE(The Ministry of Knowledge Economy), Korea, under the ITRC(Information Technology Research Center) support program (NIPA-2012-(H0301-12-4014)) supervised by the NIPA(National IT Industry Promotion Agency)

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Authors and Affiliations

  1. Department of Computer, Information and Communication Engineering, Konkuk University, Seoul, South Korea

    Don S. & Duckwon Chung

  2. School of Business IT, Kookmin University, Seoul, South Korea

    Eunmi Choi

  3. Department of Computer Science and Engineering, Konkuk University, Seoul, South Korea

    Dugki Min

Authors
  1. Don S.
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  2. Duckwon Chung
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  3. Eunmi Choi
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  4. Dugki Min
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Corresponding author

Correspondence to Dugki Min.

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S., D., Chung, D., Choi, E. et al. An Awareness Approach to Analyze ECG Streaming Data. J Med Syst 37, 9901 (2013). https://doi.org/10.1007/s10916-012-9901-8

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  • DOI: https://doi.org/10.1007/s10916-012-9901-8

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