Title :
Monte-Carlo simulation of inert gas elimination data
Author :
Kapitan, Kent S.
Author_Institution :
Dept. of Med., California Univ., San Diego, CA, USA
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;
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
DOI :
10.1109/IEMBS.1988.95083
