Abstract
The Internet of medical things is an emerging information network technology, which can realize the automatic identification, monitoring and management of personnel, medical equipment, medicines, etc. through this network, and is an effective means to reduce medical errors and improve work efficiency. This article first studies the theory and method of health information and sports information collection, that is, the temperature sensor and the acceleration sensor are used to collect human body temperature and exercise steps, respectively, and then estimate the human health and sports. Second, the prototype system of health and sports information collection system is realized the system is divided into two parts: terminal node and client information management system. Finally, a component collaborative modeling and data analysis method for Internet of medical things is proposed. This method constructs different types of components according to different functions of the Internet of Things equipment, and designs a set of communication mechanisms between the components based on the Internet of Things network communication characteristics, and uses visual methods to model. The experimental results verify that the method of collecting and analyzing human motion information using a motion information collection system is feasible. Multiple methods should be integrated to obtain as much information as possible to make the human motion analysis more scientific and reasonable.
Highlights
Internet of medical things is an effective technical means to realize intelligent identification, positioning, tracking, monitoring and management of patients and medical equipment, reduce medical errors and improve work efficiency
Zhang et al.: Design and Data Analysis of Sports Information Acquisition System Based on Internet of Medical Things obtained, and according to Corresponding real-time monitoring data, make personal health promotion reports, and carry out various forms of follow-up intervention
Zhang et al.: Design and Data Analysis of Sports Information Acquisition System Based on Internet of Medical Things TABLE 1
Summary
Internet of medical things is an effective technical means to realize intelligent identification, positioning, tracking, monitoring and management of patients and medical equipment, reduce medical errors and improve work efficiency. Y. Zhang et al.: Design and Data Analysis of Sports Information Acquisition System Based on Internet of Medical Things obtained, and according to Corresponding real-time monitoring data, make personal health promotion reports, and carry out various forms of follow-up intervention. Zhang et al.: Design and Data Analysis of Sports Information Acquisition System Based on Internet of Medical Things obtained, and according to Corresponding real-time monitoring data, make personal health promotion reports, and carry out various forms of follow-up intervention These make the information in the collection of motion information from the collection, processing to application [8], [9] have shown significant multi-source heterogeneous characteristics. Due to the huge amount of medical and health data collected in the Internet of medical things, the effective fusion of data is of great help to improve the transmission efficiency of the network and reduce the power consumption of the network. The algorithm has proved that its performance is better than the traditional algorithm through simulation and simulation experiments
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