Real-world applications of artificial neural networks to cardiac monitoring using radar and recent theoretical developments

Mary Lou Padgett; John L. Johnson; V. Rao Vemuri

doi:10.1117/12.271483

4 April 1997 Real-world applications of artificial neural networks to cardiac monitoring using radar and recent theoretical developments

Mary Lou Padgett, John L. Johnson, V. Rao Vemuri

Author Affiliations +

Proceedings Volume 3077, Applications and Science of Artificial Neural Networks III; (1997) https://doi.org/10.1117/12.271483
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

This paper focuses on use of a new image filtering technique, Pulsed Coupled Neural Network factoring to enhance both the analysis and visual interpretation of noisy sinusoidal time signals, such as those produced by LLNL's Microwave Impulse Radar motion sensor. Separation of a slower, carrier wave from faster, finer detailed signals and from scattered noise is illustrated. The resulting images clearly illustrate the changes over time of simulated heart motion patterns. Such images can potentially assist a field medic in interpretation of the extent of combat injuries. These images can also be transmitted or stored and retrieved for later analysis.

Citation Download Citation

Mary Lou Padgett, John L. Johnson, and V. Rao Vemuri "Real-world applications of artificial neural networks to cardiac monitoring using radar and recent theoretical developments", Proc. SPIE 3077, Applications and Science of Artificial Neural Networks III, (4 April 1997); https://doi.org/10.1117/12.271483

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