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 |
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Format: | Artikel |
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. |
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ISSN: | 0899-823X 1559-6834 |
DOI: | 10.1086/678059 |