Lin, X.-Y.X.-Y.LinHo, T.-W.T.-W.HoCHENG-CHUNG FANGZUI-SHEN YENYang, B.-J.B.-J.YangFEI-PEI LAI2020-03-242020-03-2420151557-170Xhttps://scholars.lib.ntu.edu.tw/handle/123456789/478603To increase the efficiency in the emergency room, the goal of this research is to implement a mobile-based indoor positioning system using mobile applications (APP) with the iBeacon solution based on the Bluetooth Low Energy (BLE) technology. We use the Received Signal Strength (RSS) based localization method to estimate the patients' locations. Our positioning algorithm achieves 97.22% (95% Confidence Interval = 95.90% - 98.55%) accuracy of classification. As the result, our mechanism is reliable enough to satisfy the need for medical staff to track the locations of their patients. ? 2015 IEEE.[SDGs]SDG3[SDGs]SDG7algorithm; confidence interval; emergency health service; human; mobile application; organization and management; wireless communication; Algorithms; Confidence Intervals; Emergency Service, Hospital; Humans; Mobile Applications; Wireless Technologyconference paper10.1109/EMBC.2015.7319507267374072-s2.0-84953251177