Abstract
With the continuous improvement of the national medical system, health monitoring combined with cloud computing and Internet of Things has become a concern. This study mainly discusses the design of the medical health monitoring IoT system based on cloud computing. From the user to the health service provider, there are three devices: sensor terminal, gateway terminal, and service platform. The sensor terminal is used to measure physiological indicators, such as blood pressure, electrocardiogram, blood oxygen saturation, heart rate, and other physiological indicators; the gateway terminal is used to link the sensor terminal to receive physiological indicators and forward them to the business platform; the gateway is also used to receive health information and other instructions issued by the server. In the community service mode, users can be divided into groups according to the community and region, and the corresponding service doctors and agent customer service personnel (nurses) can be assigned. Users can collect personal physiological indicators at home or outside through the medical terminal. These indicators and information are transmitted to the background health platform system through the mobile GSM-TD communication network. Users can also view their own historical health records and opinions of health consultants through the web/WAP website. Through the integration ability of the health cloud platform, relying on the interconnection with HIS, LIS, and other information systems of professional medical institutions, we jointly operate special value-added services, such as appointment registration, maternal and child healthcare, and medical communication (doctor-patient interaction), so that users can enjoy the remote service and guidance of professional medical institutions by subscribing to health value-added services. The CPU utilization rate is 40%, the internal utilization rate is 7.44 G, the memory utilization rate is 11.8%, and the network bandwidth is 591.87 M. During the whole test process, the indicators are stable, and there are no restart, crash, and other phenomena, so the system performance meets the design requirements.
Highlights
With the inevitable aging of population and the increasing attention of people to health problems, the proportion of medical expenses in China’s GDP has gradually increased.erefore, driven by the trillions of market value in the medical field, it began to combine big data technology to apply to the clinical management and research of medicine.In the process of continuous informatization in medical field, to solve the challenge of massive medical data, especially the security storage problem, major companies have launched some targeted solutions for safe storage. erefore, it is of practical significance to carry out the research on the security storage of medical data in cloud computing environment.e Internet of ings (IoT) is a new paradigm
E mobile medical health service system consists of three parts: cloud platform, gateway terminal, and sensor terminal. e cloud platform carries business access and provides powerful storage, analysis, reminder, and other service functions and management functions; the sensor terminal is responsible for the measurement and acquisition of health indicators; the gateway terminal is responsible for gathering and uploading the indicator data measured by the sensor to the platform and accepting all kinds of information issued by the cloud platform
In the test results of this scenario, we can see that the CPU utilization is 40%, the internal usage is 7.44 G, the memory utilization is 11.8%, and the network bandwidth is 591.87 m
Summary
With the inevitable aging of population and the increasing attention of people to health problems, the proportion of medical expenses in China’s GDP has gradually increased. He proposes an innovative multi-MCU system framework, which combines hardware bridge based on field programmable gate array and multiple extensible MCU to realize edge gateway of intelligent sensor fieldbus He proposed the concept of edge gateway, he could not provide IoT functions with single MCU solution on system scalability, computing efficiency, and communication efficiency, such as big data collection, management, real-time communication, scalable peripheral devices, and various other services [3, 4]. Centenaro M introduces the architecture of the next-generation mobile technology on the Internet of ings based on cloud and its unique security and privacy requirements It determines the inappropriate points of most existing work and solves the challenge of secure packet forwarding and effective privacy protection authentication by providing solutions. During the whole test process, the indicators are stable, and there are no restart, crash, and other phenomena, so the system performance meets the design requirements
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