A mathematical model for spirometry.
Journal Article (Journal Article)
A model originally designed to fit population growth data was investigated to determine whether it could fit spirometric traces as a function of time in normal and ill humans and in normal rats, obtained, respectively, by spirometer and whole-body plethysmography. The model showed great accuracy when applied to a simple spirometer coupled with an analog-to-digital converter interfaced with a personal computer. It also proved to be a good alternative for the more expensive and less accurate electronic devices, as derivative systems, and may be an attractive method for research and/or diagnostic centers.
Full Text
Duke Authors
Cited Authors
- Massad, E; Engel, AB; Nicolelis, MA
Published Date
- April 1, 1987
Published In
Volume / Issue
- 20 / 2
Start / End Page
- 105 - 112
PubMed ID
- 3595094
Pubmed Central ID
- 3595094
International Standard Serial Number (ISSN)
- 0010-4809
Digital Object Identifier (DOI)
- 10.1016/0010-4809(87)90038-3
Language
- eng
Conference Location
- United States