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Task analysis of laparoscopic camera control schemes
Author(s) -
Ellis R. Darin,
Munaco Anthony J.,
Reisner Luke A.,
Klein Michael D.,
Composto Anthony M.,
Pandya Abhilash K.,
King Brady W.
Publication year - 2016
Publication title -
the international journal of medical robotics and computer assisted surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 53
eISSN - 1478-596X
pISSN - 1478-5951
DOI - 10.1002/rcs.1716
Subject(s) - computer science , task (project management) , control (management) , real time computing , artificial intelligence , management , economics
Background Minimally invasive surgeries rely on laparoscopic camera views to guide the procedure. Traditionally, an expert surgical assistant operates the camera. In some cases, a robotic system is used to help position the camera, but the surgeon is required to direct all movements of the system. Some prior research has focused on developing automated robotic camera control systems, but that work has been limited to rudimentary control schemes due to a lack of understanding of how the camera should be moved for different surgical tasks. Methods This research used task analysis with a sample of eight expert surgeons to discover and document several salient methods of camera control and their related task contexts. Results Desired camera placements and behaviours were established for two common surgical subtasks (suturing and knot tying). Conclusion The results can be used to develop better robotic control algorithms that will be more responsive to surgeons' needs. Copyright © 2015 John Wiley & Sons, Ltd.