2013 IEEE 15th International Conference on E-Health Networking, Applications and Services (Healthcom 2013) 2013
DOI: 10.1109/healthcom.2013.6720643
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IoT as a service system for eHealth

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Cited by 37 publications
(15 citation statements)
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“…This stack explicitly describes how periodic traffic, abnormal traffic, and querydriven traffic can be managed within the HetNet. A complex eHealth service delivery method consisting of three phases has been proposed in [36], including composition, signalization, and data transmission. Signalization protocols serve mainly as the basis of complex service composition, quality-of-service (QoS) negotiation, and resource allocation procedures in the IoThNet.…”
Section: B the Iothnet Architecturementioning
confidence: 99%
“…This stack explicitly describes how periodic traffic, abnormal traffic, and querydriven traffic can be managed within the HetNet. A complex eHealth service delivery method consisting of three phases has been proposed in [36], including composition, signalization, and data transmission. Signalization protocols serve mainly as the basis of complex service composition, quality-of-service (QoS) negotiation, and resource allocation procedures in the IoThNet.…”
Section: B the Iothnet Architecturementioning
confidence: 99%
“…In [4] it is discussed and presented a new concept of m-IoT (Internet of m-health Things). In [5] it is discussed how to apply service science model to integrate IoT and eHealth solutions. Other research works, such as [6] and [7], also propose systems, challenges or solutions for mobile healthcare systems.…”
Section: Introductionmentioning
confidence: 99%
“…In relation to the above, it should be mentioned that the use of technologies in the context of health has led to the creation of a special implementation called e-Health [4], whose main purpose has been the development of technological tools for prevention, treatment, follow-up, and diagnosis in health in order to improve the efficiency of this service [5]. e-Health developments have been successfully applied to solve various health-related problems [6] [7] [8], due to the potential of these implementations to obtain information from patients and in general from health processes, becoming a support for decision making by responsible medical personnel in the organizations.…”
Section: Introductionmentioning
confidence: 99%