Tracking team mental workload by multimodal measurements in the operating room

Omurtag, A ORCID: https://orcid.org/0000-0002-3773-8506, Roy, RN, Dehais, F, Chatty, L and Garbey, M, 2019. Tracking team mental workload by multimodal measurements in the operating room. In: Ayaz, H and Dehais, F, eds., Neuroergonomics: the brain at work and in everyday life. London: Academic Press, pp. 99-104. ISBN 9780128119266

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Abstract

Mental workload and its effects on surgical performance are underexplored topics, despite their importance for operating room (OR) efficiency and patient safety. We developed a multimodal platform that can simultaneously collect data from EEG, heart rate and breathing rate, tool handle pressure, and eye tracker from mobile subjects. We performed experiments using the Fundamentals of Laparoscopic Surgery model, with 22 subjects of varying skill levels ranging from nonsurgeon to expert. The results indicated significant modulations of the measurements depending on pupil size, heart rate variability, P300 response, tool pressure, task difficulty, time-on-task, and skill level. These provide evidence that physiology based metrics can be used in automated classification of fine gradations of skill, the assessment and certification of surgery trainees, developing real-time flags and warnings for the OR, and validating new OR technology.

Item Type:	Chapter in book
Creators:	Omurtag, A., Roy, R.N., Dehais, F., Chatty, L. and Garbey, M.
Publisher:	Academic Press
Place of Publication:	London
Date:	2019
ISBN:	9780128119266
Divisions:	Schools > School of Science and Technology
Record created by:	Jonathan Gallacher
Date Added:	05 Sep 2018 11:22
Last Modified:	04 Apr 2019 10:08
URI:	https://irep.ntu.ac.uk/id/eprint/34425

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