Fig 1.
Schematic of our physiological hypothesis and statistical model simplifications.
(A) We hypothesize that the amplitude of a pulse is related to the excess volume of sweat produced relative to what is required to reach the surface of the skin, which translates to the difference of first passage times between two integrate-and-fire processes, yielding the difference of two inverse Gaussian distributions. (B) We arrived at a series of simplifications of our model based on the statistical properties observed. IG = inverse Gaussian.
Table 1.
Model descriptions for Models 1–8.
Table 2.
Model fit results for awake and at rest cohort for Models 1–4.
Table 3.
Model fit results propofol sedation cohort for Models 1–4.
Fig 2.
QQ plots for Subject S8 from the awake and at rest cohort.
Fig 3.
Rescaled QQ plots for Subject S8 from the awake and at rest cohort.
Fig 4.
QQ plots for Subject P10 from the propofol sedation cohort.
Fig 5.
Rescaled QQ plots for Subject P10 from the propofol sedation cohort.
Table 4.
Fitted parameter values for Models 1–4 for awake and at rest cohort.
Table 5.
Fitted parameter values for Models 1–4 for propofol sedation cohort.