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Suneet Sood
Monash University

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Objective assessment of surgeon’s psychomotor skill using virtual reality module Siti Nor Zawani Ahmmad; Eileen Su Lee Ming; Yeong Che Fai; Suneet Sood; Anil Gandhi; Nur Syarafina Mohamed; Hisyam Abdul Rahman; Etienne Burdet
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i3.pp1533-1543

Abstract

This study aims to identify measurable parameters that could be used as objective assessment parameters to evaluate surgical dexterity using computer-based assessment module. A virtual reality module was developed to measure dynamic and static hand movements in a bimanual experimental setting. The experiment was conducted with sixteen subjects divided into two groups: surgeons (N = 5) and non-surgeons (N = 11). Results showed that surgeons outperformed the non-surgeons in motion path accuracy, motion path precision, economy of movement, motion smoothness, end-point accuracy and end-point precision. The six objective parameters can complement existing assessment methods to better quantify a trainee’s performance. These parameters also could provide information of hand movements that cannot be measured with the human eye. An assessment strategy using appropriate parameters could help trainees learn on computer-based systems, identify their mistakes and improve their skill towards the competency, without relying too much on bench models and cadavers.
Co-Authors Anil Gandhi Eileen Su Lee Ming Etienne Burdet Hisyam Abdul Rahman Nur Syarafina Mohamed Siti Nor Zawani Ahmmad Yeong Che Fai