TY - JOUR N2 - Abstract 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. L1 - http://journals.pan.pl/Content/87399/PDF/28.pdf L2 - http://journals.pan.pl/Content/87399 PY - 2013 IS - No 3 DO - 10.2478/eletel-2013-0028 A1 - Chiu, Christopher A1 - Chaczko, Zenon PB - Polish Academy of Sciences Committee of Electronics and Telecommunications VL - vol. 59 DA - 2013 T1 - Enhancement of Surgical Training Practice with the Spring Tensor Heuristic Model UR - http://journals.pan.pl/dlibra/publication/edition/87399 T2 - International Journal of Electronics and Telecommunications ER -