SEAIoT: Scalable E-Health Architecture based on Internet of Things

نویسندگان

  • Omar Said
  • Amr Tolba
  • Yuxi Liu
  • Guohui Zhou
چکیده

In this paper, a scalable e-health architecture based on the Internet of Things (IoT) technology is proposed. In this suggested architecture, the clinic hardware can communicate with other clinics' hardware remotely with minimal or no human intervention, which is a key difference between the proposed architecture and the former ones. The idea of our architecture is to use the internet as a communication media between different architecture hardware. Each hardware clinic should be adapted to receive its required information from the internet. Using our system will provide the medical specialists with advantages such as scalability and flexibility. Furthermore, the cost and the effort will be decreased. The processes in our proposed architecture are executed on advanced medical devices in real time mode, which maximize the diagnosis accuracy and minimize the processing time. Finally, a case study, which is related to 2D and 4D ultrasonography devices, is demonstrated to clarify our architecture.

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تاریخ انتشار 2012