Using machine learning for real-time BAC estimation from a new-generation transdermal biosensor in the laboratory.

ABSTRACT:

Background

Transdermal biosensors offer a noninvasive, low-cost technology for the assessment of alcohol consumption with broad potential applications in addiction science. Older-generation transdermal devices feature bulky designs and sparse sampling intervals, limiting potential applications for transdermal technology. Recently a new-generation of transdermal device has become available, featuring smartphone connectivity, compact designs, and rapid sampling. Here we present initial laboratory research examining the validity of a new-generation transdermal sensor prototype.

Methods

Participants were young drinkers administered alcohol (target BAC = .08 %) or no-alcohol in the laboratory. Participants wore transdermal sensors while providing repeated breathalyzer (BrAC) read

SUBMITTER: Fairbairn CE 

PROVIDER: S-EPMC7606553 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature