DocumentCode
3498214
Title
Monte-Carlo simulation of inert gas elimination data
Author
Kapitan, Kent S.
Author_Institution
Dept. of Med., California Univ., San Diego, CA, USA
fYear
1988
fDate
4-7 Nov. 1988
Firstpage
827
Abstract
Monte-Carlo simulation allows a theoretical evaluation of the Va/Q distributions recovered from inert gas elimination data. However, when the underlying distribution is narrow, or when significant experimental error is present in the data, Monte-Carlo simulation becomes computationally impossible. An algorithm is presented which avoids these limitations by directly producing randomly distributed data points lying within the column space of the defining inert gas model.<>
Keywords
Monte Carlo methods; physiological models; pneumodynamics; algorithm; column space; inert gas elimination data; pneumodynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1988. Proceedings of the Annual International Conference of the IEEE
Conference_Location
New Orleans, LA, USA
Print_ISBN
0-7803-0785-2
Type
conf
DOI
10.1109/IEMBS.1988.95083
Filename
95083
Link To Document