@BachelorsThesis{Klappert2021,
AUTHOR = {Klappert, Michel},
TITLE = {{Using Positioning Techniques to Improve the Digital Simulation of a Mass Casualty Incident}},
YEAR = {2021},
ADDRESS = {Potsdam},
SCHOOL = {Hasso-Plattner-Institut für Digital Engineering, Universität Potsdam},
ABSTRACT = {Regular training of Mass-Casualty Incidents (MCIs) is crucial for a fast and effective response by the Emergency Medical Personnel (EMP). Because traditional training concepts are elaborate and expensive, a more abstract training concept has been designed which is quick and cost-effective to be executed: The Dynamic Patient Simulation (DPS). A digital simulation based on the DPS was developed in the context of a one-year student project. By using positioning techniques to track the contact between helpers and simulation objects, immersion into the exercise could be improved and data can be collected for better post-exercise evaluation. In this thesis, different popular positioning techniques are compared and evaluated in regards of their applicability to improve the digital MCI simulation. It is found that the combination of Bluetooth Low Energy (BLE) and Near- Field Communication (NFC) is most promising for this application. This selection is then validated and optimal configuration parameters are determined experimentally. Afterwards, an implementation into the digital MCI simulation is described and the reliability of that system is tested. The results show that the implementation of a BLE and NFC based proximity system is technically feasible and could improve the digital MCI simulation.},
NOTE = {Bachelor Thesis},
TYPE = {Bachelorthesis},
ANNOTE = {LANGUAGE : English  }
}