We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Model Identification in Exercise Physiology

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Swanson, George D. ; Departments of Anesthesiology and Biometrics, University of Colorado School of Medicine, Denver, CO 80262

Model identification for respiratory control during exercise motivates a modeling perspective concerning input design, structure identification and statistical justification. From this perspective, a functional model is proposed and initially tested in two "quiet breathers" and two "noisy breathers" using a pulse input in cycle ergometer work-rate. The results indicate that an input design that yields a higher signal to noise ratio is needed to justify the model in the "noisy breathers." Implications for alternative input designs are discussed.

Published in:

American Control Conference, 1983

Date of Conference:

22-24 June 1983