Ontology highlight
ABSTRACT: Background
Hand hygiene is a crucial and cost-effective method to prevent health care-associated infections, and in 2009, the World Health Organization (WHO) issued guidelines to encourage and standardize hand hygiene procedures. However, a common challenge in health care settings is low adherence, leading to low handwashing quality. Recent advances in machine learning and wearable sensing have made it possible to accurately measure handwashing quality for the purposes of training, feedback, or accreditation.Objective
We measured the accuracy of a sensor armband (Myo armband) in detecting the steps and duration of the WHO procedures for handwashing and handrubbing.Methods
We recruited 20 participants (10 females; mean age 26.5 years, SD 3.3). In a semistructured env
SUBMITTER: Wang C
PROVIDER: S-EPMC7146248 | biostudies-literature | 2020 Mar
REPOSITORIES: biostudies-literature