Abstract
As IT technology has recently been combined with portable device (smartphones, tablets, etc.), demands for state-of-the-art infrastructure are growing. Among them, there is a need for IoMT technology that combines big data and IoT technologies into healthcare. In this paper, we propose a distributed management technique that can efficiently manage the health care (monitoring and chronic disease management, etc.) information of remote patients by applying various artificial intelligence-related technologies (big data analysis, blockchain, deep learning, etc.) to IoMT technology. The proposed technique facilitates the collection and management of data by equating the basic management structure of the data with the existing patient model of the hospital. In particular, since the information collected from the IoMT sensor is composed of multiple blockchains, the task weight of the endpoints is minimized. Also, the proposed technique improved the accuracy of the IoMT information by using the stratified cumulative probability values of the IoMT sensor information. Proposed technique have improved the efficiency of data collection processing by 14.7% over conventional techniques by automating the linkage between IoMT equipment on the central server for all actions of the IoMT device.
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