TitleEnhancement of Surgical Training Practice with the Spring Tensor Heuristic Model
Journal titleInternational Journal of Electronics and Telecommunications
Divisions of PASNauki Techniczne
AbstractAbstract 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 end-effector navigation through obstacles and high-risk areas. The modelling of the surgical trainer as part of the laparoscopic simulator seeks to emulate the physical environment as a virtualised representation in the integrated infrastructure. Combining sensor network framework paradigms to a surgical knowledge-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.
PublisherPolish Academy of Sciences Committee of Electronics and Telecommunications
IdentifierISSN 2081-8491 (until 2012) ; eISSN 2300-1933 (since 2013)