You have accessJournal of UrologyTechnology & Instruments: Surgical Education & Skills Assessment II1 Apr 2014MP14-07 SURGICAL ATTENTION AND MOVEMENT IN NOVICE AND EXPERT ROBOTIC SURGEONS Rebecca Zee, Sierra J. Seaman, Matthew Engelhard, and Noah S. Schenkman Rebecca ZeeRebecca Zee More articles by this author , Sierra J. SeamanSierra J. Seaman More articles by this author , Matthew EngelhardMatthew Engelhard More articles by this author , and Noah S. SchenkmanNoah S. Schenkman More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2014.02.635AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Surgical simulators are useful tools to develop surgical skills. Surgical skill is partially determined by attention level and movement precision. In this study we utilize two devices: the Body Wave (BW), an EEG device designed to measure attention and the TEMPO, which measures hand movement. We compare attention and hand movements in novice and expert robotic surgeons to identify specific metrics that may be used to enhance surgical skills development. METHODS Subjects were recruited into two groups: expert robotic surgeons who completed at least 50 cases on the daVinci robotic platform (n=12) and novice medical students (n = 28). Subjects performed 3 surgical tasks (Ring Walk= RW, Energy Dissection=ED, and Suture Sponge=SS) on the daVinci simulator while wearing only BW. 27 novices and 6 experts wore both devices during the SS task. Data was collected from the BW and TEMPO using proprietary software. Measurements included % interested, % disinterested, recovery time, completion time, acceleration variance, signal power and overall score. Pre- and post-task surveys and a NASA Task Load Index (NTLI) were performed to assess perceived workload. RESULTS Experts scored higher than novices in all simulations. On NTLI, experts rated perceived workload lower than novices in 5 categories (mental demand, physical demand, temporal demand, effort, and frustration) and ranked personal performance higher. However, attention was not significantly different. Experts had faster recovery time in the RW (p=0.024), but not ED or SS. For hand movement, experts displayed greater lateral and vertical acceleration variance and greater signal power than novices in the left hand (p<0.01). CONCLUSIONS Our study reveals that experts and novices maintain a similar level of attention on the daVinci simulator. Expert recovery on RW was significantly faster. This is consistent with our findings from a previous BW study. RW recovery appears to be an important differentiator between expert and novice attention patterns. Further, expert surgeons have greater left-handed dexterity compared to novices. Attention Measured in Novices and Experts Using Body Wave Novices (n=28) Experts (n=12) p-value RW performance score (%) 54.04 89.33 < 0.005 RW attention score (%) 57.18 55.50 0.39 RW recovery time (sec) 13.07 7.92 0.02 ED performance score (%) 62.82 81.08 < 0.005 ED attention score (%) 54.96 55.42 0.47 ED recovery time (sec) 11.37 9.25 0.27 SS performance score (%) 48.50 87.25 < 0.005 SS attention score (%) 61.25 59.42 0.36 SS recovery time (sec) 10.36 8.92 0.28 Left Hand Movement in Novice and Expert Robotic Surgeons Vertical Acceleration Signal Power (5-10 Hz) Vertical Acceleration Variance Lateral Acceleration Signal Power (5-10 Hz) Lateral Acceleration Variance Novices 98.18 0.15 42.72 0.07 Experts 201.81 0.39 68.26 0.12 p-value < 0.001 < 0.001 < 0.001 < 0.01 © 2014FiguresReferencesRelatedDetails Volume 191Issue 4SApril 2014Page: e169-e170 Advertisement Copyright & Permissions© 2014MetricsAuthor Information Rebecca Zee More articles by this author Sierra J. Seaman More articles by this author Matthew Engelhard More articles by this author Noah S. Schenkman More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...
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