Wearable technology-based metrics for predicting operator performance during cardiac catheterisation
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Published version
Date
2019-04
Authors
Currie, Jonathan
Bond, Raymond R.
McCullagh, Paul
Black, Pauline
Finlay, Dewar D.
Gallagher, Stephen
Kearney, Peter
Peace, Aaron
Stoyanov, Danail
Bicknell, Colin D.
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Published Version
Abstract
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 movement via accelerometry. We also measure attentional capacity by tasking the operator with an additional task to track an unrelated object during the procedure.
Description
Keywords
Surgical simulation , Simulation-based training , Eye tracking , Wearable technology , Attentional capacity
Citation
Currie, J., Bond, R.R., McCullagh, P., Black, P., Finlay, D.D., Gallagher, S., Kearney, P., Peace, A., Stoyanov, D., Bicknell, C.D. and Leslie, S., 2019. Wearable technology-based metrics for predicting operator performance during cardiac catheterisation. International journal of computer assisted radiology and surgery, (13pp). DOI:10.1007/s11548-019-01918-0