Electronic Recognition of Hand Hygiene Technique and Duration

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 event...

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Veröffentlicht in:Infection control and hospital epidemiology 2014-10, Vol.35 (10), p.1298-1300
Hauptverfasser: Galluzzi, Valerie, Herman, Ted, Shumaker, D. J., Macinga, D. R., Arbogast, J. W., Segre, Elena M., Segre, Alberto M., Polgreen, Philip M.
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Sprache:eng
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Zusammenfassung: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.
ISSN:0899-823X
1559-6834
DOI:10.1086/678059