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Title page for ETD etd-0726101-142850

Type of Document Master's Thesis
Author Suwanmongkol, Karlkim
URN etd-0726101-142850
Title SIMON: a distributed real-time system for critical care patient monitoring and event detection
Degree Master of Science
Department Electrical Engineering
Advisory Committee
Advisor Name Title
Dr. Benoit Dawant Committee Chair
Dr. Gabor Karsai Committee Co-Chair
  • critical care patient monitoring
  • distributed system
  • real-time patient monitoring
  • Patient monitoring -- Data processing
Date of Defense 2001-07-26
Availability unrestricted
Real-time patient monitoring is an essential task in the critical care unit. Care providers need to process a large amount of data obtained from patient monitoring devices and the hospital information system. Information overload can lead to sub-optimal decisions and therapeutic actions.

SIMON is a system being developed to address these issues by acquiring and processing data from the bedside monitoring devices and the hospital information system. The initial SIMON prototype was deployed in the Coronary Care Unit of the Vanderbilt University Medical Center. Experience acquired with this system revealed the need for a change in architecture and a complete reimplementation.

The revised SIMON has been designed with distribution in mind to achieve reliability, expandability, scalability, and flexibility. It is divided into three layers. The Data Layer provides the functionality to collect the information. The Task Layer implements signal evaluation functions to detect required event. The Knowledge Layer provides high-level reasoning capabilities. Each layer is subdivided into separate but communicating components.

This thesis begins with an introduction to patient monitoring systems, the previous SIMON architecture and the revised SIMON architecture are then described. This is followed by a description of the Data Layer, the Task Layer, and the revised Task Layer. We conclude with a discussion on results we have obtained, the current status of the system, and future research recommendations.

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