Real-time physiological monitoring with distributed networks of sensors and object-oriented programming techniques

William P. Wiesmann; L. Alex Pranger; Mary S. Bogucki

doi:10.1117/12.308022

1 May 1998 Real-time physiological monitoring with distributed networks of sensors and object-oriented programming techniques

William P. Wiesmann, L. Alex Pranger, Mary S. Bogucki

Author Affiliations +

Proceedings Volume 3253, Biomedical Sensing and Imaging Technologies; (1998) https://doi.org/10.1117/12.308022
Event: BiOS '98 International Biomedical Optics Symposium, 1998, San Jose, CA, United States

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.

Citation Download Citation

William P. Wiesmann, L. Alex Pranger, and Mary S. Bogucki "Real-time physiological monitoring with distributed networks of sensors and object-oriented programming techniques", Proc. SPIE 3253, Biomedical Sensing and Imaging Technologies, (1 May 1998); https://doi.org/10.1117/12.308022

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
12 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Sensors

Data modeling

Systems modeling

Object oriented programming

Environmental sensing

Data processing

Sensor networks

Show All Keywords

Keywords/Phrases

Search In:

Publication Years