Sensor-Actor Networks utilising the Spring Tensor Model for Laparoscopic Surgical Training Simulations

Publisher:
IQProceedings
Publication Type:
Conference Proceeding
Citation:
7th International Conference on Broadband and Biomedical Communications, 2012, pp. 152 - 157
Issue Date:
2012-01
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The use of Sensor-Actor Networks (SANETs) has been applied to surgical training contexts, to illustrate how the Spring Tensor Model (STEM) can be used for laparoscopic end-effector navigation through obstacles and high-risk areas. The modelling of agents as interactive components of a laparoscopic simulator seeks to emulate the physical environment as a virtualised representation in the integrated SANET infrastructure. Combining SANET middleware framework paradigms to a surgical knowledge-based construct demonstrates how SANETs can enhance medical practice. The architectural hybridisation of the training framework has enabled the adaptation of STEM modelling techniques for a simulated laparoscopic training methodology. The primary benefit of the architecture is that this integration strategy has resulted in a seamless transition of the heuristic framework to be applied to surgical training.
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