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- W3104831917 startingPage "103416" @default.
- W3104831917 abstract "The Internet of Things is an emerging information network technology, which can realize automatic identification, monitoring, and management of personnel, medical devices, medicines, etc. via networks. It is an effective means to reduce medical errors and improve work efficiency. This article is the first research theory and collects body temperature and exercise steps, temperature and acceleration sensors, collect health and exercise information, and estimate human health and exercise. Terminal node and customer information management system: Health and sports information gathering system notices that the system is divided into two parts. The Adaptive Data Transfer Technique (ADTT) method for the Internet of things is proposed. This method builds the type of parts based on the various features of the Internet of things devices, uses the model's visual methods, and between the components on the Internet-based on the communication characteristics of the Internet of the tourist network. Design a set of communication mechanisms. The experimental results confirm that a method of analysis is possible by collecting information on human movements using a motion information collection system. Multiple methods need to be combined to obtain as much information as possible to analyze human movements more scientific and rational. In this work, it introduced a cost-effective design of medical surveillance system based on IoT technology. The proposed system is modeled, controlled by a Xilinx FPGA device, and monitored with the IoT." @default.
- W3104831917 created "2020-11-23" @default.
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- W3104831917 date "2020-11-01" @default.
- W3104831917 modified "2023-09-25" @default.
- W3104831917 title "Simulation of sports and health big data system based on FPGA and Internet of Things" @default.
- W3104831917 cites W2565968840 @default.
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- W3104831917 doi "https://doi.org/10.1016/j.micpro.2020.103416" @default.
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