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Proceedings Paper

Real-time physiological monitoring with distributed networks of sensors and object-oriented programming techniques
Author(s): William P. Wiesmann; L. Alex Pranger; Mary S. Bogucki
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Paper Abstract

Remote monitoring of physiologic data from individual high- risk workers distributed over time and space is a considerable challenge. This is often due to an inadequate capability to accurately integrate large amounts of data into usable information in real time. In this report, we have used the vertical and horizontal organization of the 'fireground' as a framework to design a distributed network of sensors. In this system, sensor output is linked through a hierarchical object oriented programing process to accurately interpret physiological data, incorporate these data into a synchronous model and relay processed data, trends and predictions to members of the fire incident command structure. There are several unique aspects to this approach. The first includes a process to account for variability in vital parameter values for each individual's normal physiologic response by including an adaptive network in each data process. This information is used by the model in an iterative process to baseline a 'normal' physiologic response to a given stress for each individual and to detect deviations that indicate dysfunction or a significant insult. The second unique capability of the system orders the information for each user including the subject, local company officers, medical personnel and the incident commanders. Information can be retrieved and used for training exercises and after action analysis. Finally this system can easily be adapted to existing communication and processing links along with incorporating the best parts of current models through the use of object oriented programming techniques. These modern software techniques are well suited to handling multiple data processes independently over time in a distributed network.

Paper Details

Date Published: 1 May 1998
PDF: 12 pages
Proc. SPIE 3253, Biomedical Sensing and Imaging Technologies, (1 May 1998); doi: 10.1117/12.308022
Show Author Affiliations
William P. Wiesmann, BioAsyst (United States)
L. Alex Pranger, BioAsyst (United States)
Mary S. Bogucki, Yale Univ. (United States)


Published in SPIE Proceedings Vol. 3253:
Biomedical Sensing and Imaging Technologies
Robert A. Lieberman; Tuan Vo-Dinh, Editor(s)

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