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This study presents a new ubiquitous emergency medical service system (UEMS) that consists of a ubiquitous tele-diagnosis interface and a traffic guiding subsystem. The UEMS addresses unresolved issues of emergency medical services by managing the sensor wires for eliminating inconvenience for both patients and paramedics in an ambulance, providing ubiquitous accessibility of patients’ biosignals in remote areas where the ambulance cannot arrive directly, and offering availability of real-time traffic information which can make the ambulance reach the destination within the shortest time. In the proposed system, patient’s biosignals and real-time video, acquired by wireless biosensors and a webcam, can be simultaneously transmitted to an emergency room for pre-hospital treatment via WiMax/3.5 G networks. Performances of WiMax and 3.5 G, in terms of initialization time, data rate, and average end-to-end delay are evaluated and compared. A driver can choose the route of the shortest time among the suggested routes by Google Maps after inspecting the current traffic conditions based on real-time CCTV camera streams and traffic information. The destination address can be inputted vocally for easiness and safety in driving. A series of field test results validates the feasibility of the proposed system for application in real-life scenarios.
WiMax, Emergency Medical Services, ubiquitous emergency medical service; Google Maps; 3.5 G; WiMax; traffic guiding subsystem; speech recognition, Chemical technology, Ambulances, speech recognition, 3.5 G, TP1-1185, Biosensing Techniques, Article, traffic guiding subsystem, Computer Communication Networks, ubiquitous emergency medical service, Google Maps, Wireless Technology
WiMax, Emergency Medical Services, ubiquitous emergency medical service; Google Maps; 3.5 G; WiMax; traffic guiding subsystem; speech recognition, Chemical technology, Ambulances, speech recognition, 3.5 G, TP1-1185, Biosensing Techniques, Article, traffic guiding subsystem, Computer Communication Networks, ubiquitous emergency medical service, Google Maps, Wireless Technology
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 27 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |