title: Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring.
abstract: New scenarios in diabetes treatment have been opened in the last ten years by continuous glucose monitoring (CGM) sensors. In particular, Non-Invasive CGM sensors are particularly appealing, even though they are still at an early stage of development. Solianis Monitoring AG (Zürich, Switzerland) has proposed an approach based on a multisensor concept, embedding primarily dielectric spectroscopy and optical sensors. This concept requires a mathematical model able to reconstruct the glucose concentration from the 150 channels measured with the device. Assuming a multivariate linear regression model (valid and usable for different individuals), the aim of this paper is the assessment of some techniques usable for determining such a model, namely Ordinary Least Squares (OLS), Partial Least Squares (PLS) and Least Absolute Shrinkage and Selection Operator (LASSO). Once the model is identified on a training set, the accuracy of prospective glucose profiles estimated from "unseen" multisensor data is assessed. Preliminary results obtained from 18 in-clinic study days show that sufficiently accurate reconstruction of glucose levels can be achieved if suitable model identification techniques, such as LASSO, are considered.
authors.affiliation: Department of Information Engineering, University of Padova, Via G Gradenigo 6/B, 35131 Padova, Italy.
authors.forename: Mattia
authors.initials: M
authors.lastname: Zanon
authors.forename: Michela
authors.initials: M
authors.lastname: Riz
authors.forename: Giovanni
authors.initials: G
authors.lastname: Sparacino
authors.forename: Andrea
authors.initials: A
authors.lastname: Facchinetti
authors.forename: Roland E
authors.initials: RE
authors.lastname: Suri
authors.forename: Mark S
authors.initials: MS
authors.lastname: Talary
authors.forename: Claudio
authors.initials: C
authors.lastname: Cobelli
mesh_terms: D015374:Biosensing Techniques; D001786:Blood Glucose / Q000032:analysis*; D003922:Diabetes Mellitus, Type 1 / Q000097:blood; D006801:Humans; D016014:Linear Models; D008962:Models, Theoretical
chemical_list: D001786:Blood Glucose