Abstract
Surgical simulation environments are required to train laparoscopic surgeons to become familiar with the technology, before they operate on patients. The chapter examines how a Sensor-Actor Network (Sanet) incorporated into the laparoscopic training facility can be augmented with the Belief-Desire-Intention (Bdi) agents for autonomous operation of the sensor facility along with the training environment. In addition to neural network processes, path trajectory estimation can be superimposed as a visual aid in a variety of training scenarios. The algorithms used in this experiment provides a balanced approach to monitor the training surgeon’s level of progress and feedback as they perform the simulated training procedures.
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Chiu, C., Chaczko, Z. (2014). An Anticipatory Sanet Environment for Training and Simulation of Laparoscopic Surgical Procedures. In: Klempous, R., Nikodem, J., Jacak, W., Chaczko, Z. (eds) Advanced Methods and Applications in Computational Intelligence. Topics in Intelligent Engineering and Informatics, vol 6. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-01436-4_17
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DOI: https://doi.org/10.1007/978-3-319-01436-4_17
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