A Local Rehabilitation Internet of Things System for Rehabilitation Stations

Abstract

The invention discloses a local rehabilitation Internet of things system for rehabilitation stations, which includes a front-end equipment system composed of a sensor system module, a rehabilitation equipment module, a data transmission module, and a training display module, a local data center, a cloud platform server, The server system composed of edge computing module and rehabilitation intelligent system, the background management system composed of rehabilitation management module, rehabilitation user module, rehabilitation doctor module, government monitoring module and WEB server. Through the cooperation of various system modules, the present invention can customize private rehabilitation exercise programs for rehabilitation users, provide lifelong follow-up research of patients for rehabilitation physicians, provide massive data mining for rehabilitation for big data analysts, and provide decision support for disabled patients for government departments. Through big data analysis, we will create a rehabilitation sports ecosystem of Internet of Things + big rehabilitation, and provide fine professional doctor-level caring care 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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