2015 · 162 citations · 6 references
EngineeringEmergency MedicineInformation TechnologyMobile ComputingMobile Health InformaticsWireless CommunicationsIndoor LocalizationMobile Health ApplicationsMobile SensingPatient PositioningPositioningWireless Sensor NetworksBluetooth Low EnergyBluetooth Low Energy LocalizationBluetooth Low Energy SensingLocalization Accuracy EstimationLocation SensingLocation-based Data CollectionReceived Signal Strength Localization
To 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.
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Astrid Guttmann, Michael J. Schull, Marian J. Vermeulen et al. · BMJ · 2011 · 733 citations · Full text
Medicine, Emergency Medical Services, Emergency Medicine +13
Bluetooth indoor localization with multiple neural networks
Marco Altini, Davide Brunelli, Elisabetta Farella et al. · 2010 · 152 citations