An Anticipatory Sanet Environment for Training and Simulation of Laparoscopic Surgical Procedures

Publisher:
Springer
Publication Type:
Chapter
Citation:
Advanced Methods and Applications in Computational Intelligence, 2014, 1st Edition, pp. 367 - 385
Issue Date:
2014-01
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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 surgeons level of progress and feedback as they perform the simulated training procedures.
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