Print Email Facebook Twitter A Simulation Platform for Proximity-based Infrared Positioning System in the Operating Room Title A Simulation Platform for Proximity-based Infrared Positioning System in the Operating Room Author Guo, Y. Contributor Dankelman, J. (mentor) Van den Dobbelsteen, J.J. (mentor) Faculty Mechanical, Maritime and Materials Engineering Department BioMechanical Engineering Programme BME Date 2014-07-02 Abstract Easy access to the current status of a surgery in the operating room (OR) can be beneficial to hospitals since it can improve the working efficiency and reduce the operational costs. Using indoor positioning systems (IPS) to obtain the position information of medical staffs in the OR could be an indirect method to enhance the awareness of the current status of a surgery. Among various IPSs available in the market, the proximity-based infrared positioning system could be selected as a possible option for the application in OR considering its advantages like short-range detection, low price and less signal interference with the medical equipment. However, infrared signal cannot penetrate opaque materials, which poses a potential problem of signal blockage in the OR, an environment that is crowded with medical devices and medical staffs. In order to analyze the working performance of the infrared positioning system in the OR, a simulation platform was proposed and developed in this project to simulate the working behavior of the system. Using the platform developed in this project, scenarios were simulated where tags attached at different parts of a medical staff can be detected by infrared transmitters installed in the OR. Based on the results generated from the simulations, data analysis was done to evaluate the working performance of the infrared indoor positioning system in the OR. Specifically, our research focused on the relationship among the following three parameters: detection rate, tag position and OR context. Simulation results revealed that tag position and OR context have different effects on the detection rates of tags: 1) Tag position has huge effects on the detection rate, with head and arms yielding high detection rates and the rest of body components (back/chest and legs) yielding low detection rates. 2) OR context on the other hand, does not have significant effects on the detection rates of tags. These conclusions provide better reference for potential application of IPS in the OR: when considering a proximity-based infrared system as an IPS in the OR, special attention should be paid to the tag positions on the human body, while the possible change of the OR context would not be a big factor of influence. Subject proximity detectionIPSinfraredORUnity3D To reference this document use: http://resolver.tudelft.nl/uuid:ba37d5a5-a212-4e4e-805c-71e5c08dfe88 Embargo date 2015-07-02 Part of collection Student theses Document type master thesis Rights (c) 2014 Guo, Y. Files PDF Thesis_Yu_Guo.pdf 2.77 MB Close viewer /islandora/object/uuid:ba37d5a5-a212-4e4e-805c-71e5c08dfe88/datastream/OBJ/view