Abstract
The recoverability of the distribution of ventilation-perfusion ratios from calculated retention (or excretion) for six inert gases was studied. Least square error minimization was investigated using noise-free artificial data and data with simulated experimental error. The accuracy of the recovered distribution was quantified by a distance function. Both unimodal and bimodal distributions were recovered from noise-free data and from data with a simulated ±1% error. Using data with a ±3% error, the original distributions were not recovered, in fact, the distance function increased while the error function decreased with repeated iterations. Since ±3% represents current experimental error in retention (or excretion) ratio measurements, great care must be taken in applying this technique to real data.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.