Modeling and Analysis of Monitored vs. Self-reported Postsurgical Acute Pain in a Clinical Trial

This work aims to study postsurgical trauma modeling characterize the physiological process in postoperative pain assessment an observational trial. The skin impedance data is proposed be fitted by derived-Cole models, i.e., single and double dispersion models a distributed model with inductive term related sweat glands. These are motivated biological characteristics of skin, its stratification current intra-and extra-cellular pathways. correlation between identified parameters patient’s reported using numerical rating scale (NRS) analyzed for one patient all three models. Following trial, statistically significant positive linear relationship was observed Anspec-Pro index NRS (r2 = 0.16, p=0.00), driving further estimated dielectric parameters. paper focuses analyze changes coefficients particular clinical data, successfully non-linear least square procedure. significance results may individual detection, validated on patients.