It is essential for surgeons to have their skill evaluated prior to entering the oper- ating room. Most evaluation methods currently in use are subjective, relying on human judgment to assess trainees. Recently, sensors have been used to track the positions of instruments and the forces applied to them by surgeons, opening up the possibility of automated skill analysis. This thesis presents a newly developed recording system, and novel methods used to automatically analyze surgical skill within the context of laparoscopic procedures. The evaluation methods are tested using an empirical study involving a number of participants with a wide range of surgical skill.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:AEU.10048/1456 |
| Date | 11 1900 |
| Creators | Anderson, Fraser |
| Contributors | Bischof, Walter F. (Computing Science), Boulanger, Pierre (Computing Science), Birch, Daniel W. (Surgery), Sander, Joerg (Computing Science) |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | 23294671 bytes, application/pdf |
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