Name
Abstract | ||
|---|---|---|
The discussed training system employs several means for encouraging safe behavior during laparoscopic surgery procedures. The elements of no-fly zones, magnetic position sensing and expert systems are tied together to form a complex system that provides guidance and performance assessment. A 3D reconstruction algorithm is used for the purpose of defining no-fly zones and has been tested in a simulator developed for the purpose of this work. An expert system has been built in cooperation with surgeons that, based on simple rules, can assess the risk of the trainee's actions. Despite the shortcomings of the 3D reconstruction process, the training system performed as expected during experiments. Simple exercises like touching points in 3D space were performed and scored appropriately to whether a no-fly zone has been breached or not. Also simple advice could be provided to the trainee in order to help improve the results. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04772-5_114 | EUROCAST |
Keywords | Field | DocType |
laparoscopic surgery,reconstruction process,complex system,training system,simple exercise,simple advice,training,expert system,reconstruction algorithm,safety oriented laparoscopic surgery,image processing,no-fly zone,simple rule,laparoscopic surgery procedure,fuzzy logic.,fuzzy logic,3d reconstruction,system performance | Laparoscopic surgery,Training system,Computer science,Expert system,Fuzzy logic,Image processing,Artificial intelligence,Machine learning,3D reconstruction | Conference |
Volume | ISSN | Citations |
5717 | 0302-9743 | 3 |
PageRank | References | Authors |
0.47 | 4 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrzej Wytyczak-Partyka | 1 | 16 | 2.81 |
| Jan Nikodem | 2 | 51 | 11.58 |
| Ryszard Klempous | 3 | 63 | 12.84 |
| Jerzy Rozenblit | 4 | 41 | 6.48 |
| Radoslaw Klempous | 5 | 3 | 0.47 |
| Imre Rudas | 6 | 42 | 5.22 |