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Using smoothing splines to make inferences about the shape of gas-exchange curves

✍ Scribed by Ted D. Wade; Stewart J. Anderson; Jessica Bondy; V.A. Ramadevi; Richard H. Jones; George D. Swanson


Publisher
Elsevier Science
Year
1988
Tongue
English
Weight
593 KB
Volume
21
Category
Article
ISSN
0010-4809

No coin nor oath required. For personal study only.

✦ Synopsis


Respiratory gas-exchange data from progressive exercise tests are typically interpreted by visual inspection. Attempts to objectify such interpretation have applied particular parametric models which limit the measures which can be studied and the inferences which can be made. We use a known spline-smoothing procedure which fits a continuous curve to such data, yielding confidence intervals for the curve and for its first and second derivatives. Rules can be made which use the derivatives to infer features of a curve's shape and to relate features from different curves in the same data set. In this way complex interpretations can be made objective, so that they may be adequately tested.