Abstract
Simulation is common practice for surgeon training in particular for robotic surgery. This paper introduces further relevant applications of simulation that improve patient safety. Therefore, the design of a modular simulator for minimally invasive robotic surgery is presented. The authors introduce a classification of hierarchical levels of modeling details for the three aspects Application, System, and Patient. Furthermore, the principal use case classes Training, Workflow Validation, Workflow Design, Monitoring, and Robot Design of simulation for robotic surgery are introduced. For each class standard simulator setups are presented. The application of the classification is exemplified for the use cases Training and Robot Design.
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References
da Vinci skills simulator, http://www.intuitivesurgical.com/products/skills_simulator/ (last visited January 30, 2012)
Systems Engineering Handbook, Version 3.1. International Council on Systems Engineering (INCOSE) (2007)
Agency for Healthcare Research and Quality: Improving patient saftey through simulation research (2008), http://www.ahrq.gov/qual/simulproj.html
Alimisis, D., Vicentini, M., Fiorini, P.: Towards a problem-based training curriculum for surgical robotics: the SAFROS project. In: Bastiaens, T., Ebner, M. (eds.) Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications, Chesapeake, VA, pp. 297–302 (2011)
Banks, J. (ed.): Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice. Wiley & Sons, New York (1998)
Basdogan, C., Sedef, M., Harders, M., Wesarg, S.: VR-based simulators for training in minimally invasive surgery. Computer Graphics and Applications 27(2), 54–66 (2007), doi:10.1109/MCG.2007.51
Franklin, G., Powell, J.D., Workman, M.L.: Digital Control of Dynamic Systems, 3rd edn. Addison Wesley (1998)
Herron, D., Marohn, M.: A consensus document on robotic surgery. Surgical Endoscopy 22, 313–325 (2008), doi:10.1007/s00464-007-9727-5
Hirzinger, G., Brunner, B., Dietrich, J., Heindl, J.: Sensor-based space robotics-ROTEX and its telerobotic features. IEEE Transactions on Robotics and Automation 9(5) (1993)
Klodmann, J., Konietschke, R., Albu-Schäffer, A., Hirzinger, G.: Static calibration of the DLR medical robot MIRO, a flexible lightweight robot with integrated torque sensors. In: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3708–3715. IEEE, San Francisco (2011), doi:10.1109/IROS.2011.6095097
Lerner, M., Ayalew, M., Peine, W., Sundaram, C.: Does training on a virtual reality robotic simulator improve performance on the da vinci surgical system? Journal of Endourology 24(3) (2010)
Object Managment Group, OMG Systems Modeling Language (OMG SysML), Version 1.2. Document formal/2010-06-01 (2006), http://www.omg.org/spec/SysML/1.2
Satava, R.: Historical review of surgical simulation - a personal perspective. World Journal of Surgery 32(2), 141–148 (2008), doi:10.1007/s00268-007-9374-y
Sokolowski, J., Banks, C. (eds.): Principles of Modeling and Simulation: A Multidisciplinary Approach. Wiley & Sons, New York (2009)
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Jörg, S., Konietschke, R., Klodmann, J. (2013). Classification of Modeling for Versatile Simulation Goals in Robotic Surgery. In: Lee, S., Yoon, KJ., Lee, J. (eds) Frontiers of Intelligent Autonomous Systems. Studies in Computational Intelligence, vol 466. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35485-4_31
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DOI: https://doi.org/10.1007/978-3-642-35485-4_31
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