Wearable technology-based metrics for predicting operator performance during cardiac catheterisation

INTRODUCTION: Unobtrusive metrics that can auto-assess performance during clinical procedures are of value. Three approaches to deriving wearable technology-based metrics are explored: (1) eye tracking, (2) psychophysiological measurements [e.g. electrodermal activity (EDA)] and (3) arm and hand mov...

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Detalles Bibliográficos
Autores principales: Currie, Jonathan, Bond, Raymond R., McCullagh, Paul, Black, Pauline, Finlay, Dewar D., Gallagher, Stephen, Kearney, Peter, Peace, Aaron, Stoyanov, Danail, Bicknell, Colin D., Leslie, Stephen, Gallagher, Anthony G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6420895/
https://www.ncbi.nlm.nih.gov/pubmed/30730031
http://dx.doi.org/10.1007/s11548-019-01918-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6420895/
https://www.ncbi.nlm.nih.gov/pubmed/30730031
http://dx.doi.org/10.1007/s11548-019-01918-0

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