Now, we need to obtain the error estimation.
Subtracting (5.7) from (5.8), we obtain the error equation (5.9).
The main goal of this paper is to obtain the errors with the greatest influence and to evaluate the interaction between errors using design of experiments.
With hemodynamic techniques, where high numbers of replicates are easily obtained, the error bars are small.
We had expected error about 5-7% and we obtained the error between 0.5-2% with one exception described above.
Although the classifier was constructed by employing cross-validation to obtain unbiased error estimates, this result should be confirmed in an independent validation set.
Repeat measurements of a single sample showed that the concentration figures obtained this way have an experimental error of 5 – 10%%.
Based on the correlation equation we obtained, this could contribute an additional error in estimating peak VO2 of about +/- 1 ml/kg/min.
In this section, we obtain an error estimate between the exact solution and the approximate solution of 2DLFFIE (3.1).
However, the particular distribution of the measured errors suggests a strong predictability and repeatability, also confirmed by the high coefficient of determination (about 0.993) obtained while fitting this error distribution using a linear model (the black solid line in Fig. 5).
