dc.contributor.author | Miller, Martin Raymond | |
dc.date.accessioned | 2017-10-04T13:41:49Z | |
dc.date.available | 2017-10-04T13:41:49Z | |
dc.date.issued | 1983 | |
dc.date.submitted | 2017-10-03T13:57:06.086Z | |
dc.identifier.citation | Miller, M.R. 1983. TIME DOMAIN ANALYSIS OF SPIROGRAMS. Queen Mary University of London | en_US |
dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/26690 | |
dc.description | PhD | en_US |
dc.description.abstract | Spirograms are widely used simple tests of ventilatory lung
function. This thesis evaluates their analysis in the time domain
as a means of improving their yield of diagnostic information.
The most precise method for recording spirograms was
determined. Errors due to non-instantaneous cooling of gas within
spirometers were found to be greater than the known non-linearity
of pneumotachographs when recording simulated spirograms.
The analysis of spirograms inthe time domain involves
considering the spirogram as a cumulative distribution of transit
times and deriving the statistical moments of this distribution. A
valid procedure for comparing the moments of truncated spirograms
has been proposed and these truncated moments have been shown to
be highly reproducible within individuals and retain discriminatory
ability.
A multi-exponential model of the spirogram has been considered
in detail as a means of overcoming errors inherent in the moments
of some spirograms. The most satisfactory technique for applying
this model to describe spirograms has been determined and the
model was found to reflect correctly abnormalities in spirograms
for commonly found ventilatory disorders.
A cross-sectional population survey of a male workforce was
carried out to determine whether time domain analysis of spirograms
detects abnormalities hitherto unappreciated. Normal values for
conventional and time domain spirometric indices were determined.
Smokers were found to have two types of spirogram abnormality
previously not recognised. The more commonly found abnormality
was evident early within the spirogram, and the other was only
evident in the tail of the spirogram. These findings do not agree
with current hypotheses that smoking damage should be first manifest
in the terminal part of a maximal forced expiratory manoeuvre.
Alternative hypotheses are proposed.
Time domain analysis of spirograms has been found to demonstrate
hitherto unrecognised changes in spirograms due to smoking. | en_US |
dc.description.sponsorship | Birmingham Regional Health Authority Sheldon Clinical Research Fellow
UK Medical Research Council
University of Birmingham Faculty of Medicine Rowbotham Bequest and Scott-Moncrieff Bequest | en_US |
dc.language.iso | en | en_US |
dc.publisher | Queen Mary University of London | en_US |
dc.rights | The copyright of this thesis rests with the author and no quotation from it or information derived from it may be published without the prior written consent of the author | |
dc.subject | Medicine | en_US |
dc.subject | Spirograms | en_US |
dc.subject | Pneumotachographs | en_US |
dc.subject | maximal -- forced expiratory maneouvre | en_US |
dc.title | TIME DOMAIN ANALYSIS OF SPIROGRAMS | en_US |
dc.type | Thesis | en_US |