Local rehabilitation Internet of Things system for rehabilitation station

Abstract

The invention discloses a local rehabilitation Internet of Things system for a rehabilitation station, which comprises a front-end equipment system consisting of a sensing system module, a rehabilitation instrument module, a data transmission module and a training display module, a server system composed of a local data center, a cloud platform server, an edge computing module and an intelligent rehabilitation system, and a background management system composed of a rehabilitation management module, a rehabilitation user module, a rehabilitation doctor module, a government monitoring module and a WEB server. Through mutual cooperation of the system modules, a private rehabilitation exercise scheme can be customized for a rehabilitation user; the lifelong tracking research of the patient isprovided for rehabilitation physicians; massive rehabilitation data mining is provided for big data analysts, decision support of disabled patients is provided for government departments, a rehabilitation exercise ecosystem of the Internet of Things and large rehabilitation is built through big data analysis means, and fine intimate care of professional physician levels is provided for rehabilitation users with different symptoms.

Description

technical field [0001] The invention belongs to the field of rehabilitation medicine, relates to the Internet of Things technology, in particular to a local rehabilitation Internet of Things system for rehabilitation stations. Background technique [0002] Rehabilitation medical IoT is the in-depth application of IoT technology in the field of rehabilitation medical, and the rehabilitation home training mode is a specific application method of rehabilitation medical. Using the rehabilitation home model can effectively concentrate equipment, especially large-scale equipment, and can effectively grasp the sports training and rehabilitation conditions of community / street rehabilitation personnel, and can guide the rehabilitation training of rehabilitation personnel in a targeted manner, and rehabilitation personnel can also intuitively check themselves Rehabilitation training conditions can be interacted with rehabilitation physicians for help, and relevant government agencies ...

AI Technical Summary

Problems solved by technology

Rehabilitation stations generally count and record the training of rehabilitation personnel manually. Without Internet connection, the efficiency is low, the number of personnel that can be served is effective, and the ability of different rehabilitation stations to communicate with each other is limited, so it is easy to become information islands

[0004] (2) Difficulties in administrative supervision at all levels

Ordinary rehabilitation stations have limited ability to report materials and have a large time lag. Therefore, it is difficult for relevant governments at all levels to effectively grasp the rehabilitation personnel, and it is difficult to accurately implement various compensation policies, and it is also difficult to formulate substantive and effective policies for rehabilitation personnel. planning, guidance

[0005] (3) It is difficult to share the data of rehabilitation personnel

Because most of the various data of the rehabilitation station are manually recorded, it is difficult for the data of each station to be shared on the Internet for rehabilitation physicians to use. Therefore, it is difficult for rehabilitation physicians to provide remote and targeted guidance on the specific training of rehabilitation personnel.

And because the user's training and health records cannot be obtained anytime and anywhere, the daily training data of rehabilitation patients cannot provide reference for the doctor's diagnosis when they see a doctor, and it is difficult to play a unique role

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