Wearable technology-based metrics for predicting operator performance during cardiac catheterisation
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Bond, Raymond R.
Finlay, Dewar D.
Bicknell, Colin D.
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.
Surgical simulation , Simulation-based training , Eye tracking , Wearable technology , Attentional capacity
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