Enhancement of Surgical Training Practice with the Spring Tensor Heuristic Model

Publisher:
Polish Academy of Sciences (PAN), Committe of Electronics and Telecommunications
Publication Type:
Journal Article
Citation:
Kwartalnik Elektroniki i Telekomunikacji - Electronics and Telecommunications Quarterly, 2013, 1, 59 (3), pp. 237 - 244
Issue Date:
2013-01
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The enhancement of surgical simulation tools is an important research study, to assist in the assessment and feedback of medical training practice. In this research, the Spring Tensor Model (STEM) has been used for laparoscopic endeffector navigation through obstacles and high-risk areas. The modelling of the surgical trainer as part of the laparoscopic simulator seek s to emulate the physical environment as a virtualised representation in the integrated infrastructure. Combining sensor network framework paradigms to a surgical k nowledge-based construct demonstrates how STEMcan 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. http://www.degruyter.com/view/j/eletel.2013.59.issue-3/eletel-2013-0028/eletel-2013-0028.xml?format=INT
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