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

International Standard Serial Number (ISSN)

  • 0010-4809

Digital Object Identifier (DOI)

  • 10.1016/0010-4809(87)90038-3


  • eng

Conference Location

  • United States