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Electronic Recognition of Hand Hygiene Technique and Duration
Published online by Cambridge University Press: 10 May 2016
Abstract
We captured 3-dimensional accelerometry data from the wrists of 116 healthcare professionals as they performed hand hygiene (HH). We then used these data to train a k-nearest-neighbors classifier to recognize specific aspects of HH technique (ie, fingertip scrub) and measure the duration of HH events.
Infect Control Hosp Epidemiol 2014;35(10):1298–1300
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- © 2014 by The Society for Healthcare Epidemiology of America. All rights reserved.
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