Print Email Facebook Twitter Real-time estimation of surgical procedure duration Title Real-time estimation of surgical procedure duration Author Paalvast, M. Contributor Guedon, A.C.P. (mentor) Faculty Mechanical, Maritime and Materials Engineering Department Biomedical Engineering Programme MIMS Date 2015-05-22 Abstract Each surgical procedure varies in length. There’s a need for dynamic planning to have an optimal patient flow from their beds to the operating room. This paper proposes an adaptive system that predicts the end of a gallbladder removal surgery 25 minutes in advance with the use of Support Vector Machines based on the activations of the electrosurgical device; To advise the staff on having the next patient prepared for surgery. The system was tested in the real environment, where it showed reliable results and outperformed the hospitals staff who usually had the next patient be prepared too early. With appropriate changes and given more time the system performance could be further improved. Subject surgical workflowpattern recognitionsupport vector machinesmachine learningreal-timeestimation of procedure duration To reference this document use: http://resolver.tudelft.nl/uuid:d44a049b-fe5e-4f69-870e-3dbd315f132f Part of collection Student theses Document type master thesis Rights (c) 2015 Paalvast, M. Files PDF thesis.Marcel.Paalvast.pdf 1.08 MB Close viewer /islandora/object/uuid:d44a049b-fe5e-4f69-870e-3dbd315f132f/datastream/OBJ/view